road traffic crashes in new south wales · road traffic casualty crashes in new south wales 2015 6....

ROAD TRAFFIC CASUALTY CRASHES IN NEW SOUTH WALES Statistical Statement for the year ended 31 December 2015

Prepared by the Centre for Road Safety, Transport for NSW

18 Lee Street Chippendale NSW 2008

Telephone: (02) 8202 2200 Facsimile: (02) 8202 2209 Postal address: PO Box K659 Haymarket NSW 1240

Internet: http://roadsafety.transport.nsw.gov.au/

E-mail: http://roadsafety.transport.nsw.gov.au/cgi-bin/index.cgi?action=feedback.form

Further information:

For further information concerning road crash statistics for New South Wales, write to the:

NSW Centre for Road Safety PO Box K659 Haymarket NSW 1240

ISSN 0155-2546 © State of NSW through Transport for NSW

Extracts from this publication may be reproduced provided the source is fully acknowledged.

http://roadsafety.transport.nsw.gov.au/

http://roadsafety.transport.nsw.gov.au/cgi-bin/index.cgi?action=feedback.form

Contents ACKNOWLEDGEMENTS 6

PREFACE 7 Scope of crash statistics 7

How crash data are processed 8

Health data linkage process 8

Special notes 9

Criteria for determining speeding and fatigue involvement 11

Definitions and explanatory notes 12

INTERPRETING TABLES CORRECTLY 14

SERIOUS INJURIES (ALL HOSPITALISATIONS) 15 SUMMARY DATA FOR 2015 16

MAIN POINTS FOR 2015 17

Figure 1 Serious injury (all hospitalisations) rate per 10,000 vehicles, 10,000 licence holders and 100,000 population for years 2005 to 2015 in NSW 18

Table 1 Serious injuries (all hospitalisations), year, road user class 19

Table 2 Serious injuries (all hospitalisations), year, age 20

Table 3 Serious injuries (all hospitalisations), year, gender 21

Table 4 Serious injuries (all hospitalisations), year, quarter 22

CASUALTY CRASH AND CASUALTY TRENDS 23 SUMMARY DATA FOR 2015 24

MAIN POINTS FOR 2015 25

Table 5 Trends in New South Wales 1950-2015 26

Figure 2 Fatality rate per 10,000 vehicles, 10,000 licence holders and 100,000 population for years 1950 to 2015 in NSW 28

Table 6 Fatality comparison with other Australian States and other countries 29

Table 7 Deaths within NSW, causes of death, sex, age for 2014 30

Table 8 Fatalities, year, month 31

Table 9 Casualties, year, road user class, degree of casualty 32

ROAD CASUALTY CRASHES IN 2015 36 Time distribution of crashes

Table 10 Crashes, casualties, holiday periods, degree of crash, degree of casualty 37

Table 11a Fatal crashes, time period, day of week 38

Table 11b Serious injury crashes, time period, day of week 38

Table 11c Moderate injury crashes, time period, day of week 39

Table 11d Minor/Other injury crashes, time period, day of week 39

Table 11e Total casualty crashes, time period, day of week 40

Table 12 Crashes, time period, degree of crash 41

Crash types

Figure 3a Fatal crashes, road user movement 43

Figure 3b Serious injury crashes, road user movement 44

Figure 3c Total casualty crashes, road user movement 45

Table 13 Crashes, object hit in first impact, degree of crash 46

Table 14 Single motor vehicle crashes, vehicle type, degree of crash 46

Motor vehicle types

Table 15a Crashes, type of crash, degree of crash 47

Table 15b Casualties, type of crash, degree of casualty 48

Table 16 Motor vehicles involved and involvement rate, vehicle type, degree of crash 49

Factors & errors possibly contributing to crashes

Table 17 Crashes, factors, degree of crash 50

Table 18 Crashes, degree of crash, alcohol involvement, time period 51

Table 19 Crashes, degree of crash, alcohol involvement, urbanisation 52

Table 20a Crashes, alcohol involvement, degree of crash 53

Table 20b Crashes, speeding involvement, degree of crash 53

Table 20c Crashes, fatigue involvement, degree of crash 53

Controllers in crashes

Table 21 Motor vehicle controllers involved, degree of crash, road user class, sex, age

a Degree of crash: Fatal 54

b Degree of crash: Serious injury 55

c Degree of crash: Moderate injury 56

d Degree of crash: Minor/Other injury 57

e Degree of crash: All casualty crashes 58

Table 22 Motor vehicle controllers involved, road user class, licence status, degree of crash 59

Table 23 Motor vehicle controllers involved, degree of crash, blood alcohol concentration, sex, age

a Degree of crash: Fatal 60

b Degree of crash: Serious injury 61

c Degree of crash: Moderate injury 62

d Degree of crash: Minor/Other injury 63

e Degree of crash: All casualty crashes 64

Table 24 Speeding motor vehicle controllers involved, degree of crash, sex, age 65

Table 25 Fatigued motor vehicle controllers involved, degree of crash, sex, age 66

Location and distribution of crashes

Table 26a Crashes, location type, degree of crash 67

Table 26b Crashes, feature of location, degree of crash 67

Table 27 Crashes, area, speed limit, degree of crash 68

Table 28 Crashes, alignment, surface condition, degree of crash 69

Table 29 Crashes, casualties, region, local government area, degree of crash, degree of casualty 70

Table 30 Crashes, casualties, route, local government area, degree of crash, degree of casualty 82

CASUALTIES IN 2015 103 Road user class, age and sex distribution of casualties

Table 31 Casualties, road user class, degree of casualty 104

Table 32 Casualties, degree of casualty, road user class, sex, age

a Degree of casualty: Killed 105

b Degree of casualty: Seriously injured 106

c Degree of casualty: Moderately injured 107

d Degree of casualty: Minor/Other injured 108

e Degree of casualty: All casualties 109

Safety device for casualties

Table 33 Road vehicle casualties, road user class, safety device used, degree of casualty 110

Alcohol for casualties

Table 34 Motor vehicle controller casualties, degree of casualty, blood alcohol concentration, sex, age






Table 35 Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration






Table 36a Casualties, alcohol involvement in crash, degree of casualty 119

Table 36b Casualties, speeding involvement in crash, degree of casualty 119

Table 36c Casualties, fatigue involvement in crash, degree of casualty 119

REFERENCE INFORMATION 120 Demographic data

Table 37 New South Wales residents, age, sex 121

Table 38 Licence holders, age, sex 122

Vehicle information

Table 39 Vehicles on register, vehicle type 123

Acknowledgements

Transport for NSW wishes to thank the following – • NSW Police Force for supply of road crash data. • Spinal Cord Injuries Australia for providing coding and data entry service. • NSW Ministry of Health for providing access to information in the NSW Admitted Patient Data

Collection, NSW Emergency Department Data Collection and the NSW Registry of Births, Deaths and Marriages – Death registrations.

• Centre for Health Record Linkage for conducting the record linkage. • Aboriginal Health & Medical Research Council for supporting the ongoing data linkage project. • Independent Hospital Pricing Authority for providing the International Classification of Diseases, 10th

Revision, Australian Modification (ICD-10-AM) electronic code lists. • The State Insurance Regulatory Authority (SIRA) and icare (Lifetime Care) for providing data on

Compulsory Third Party insurance claims and Lifetime Care participants. • ACT Health Directorate for providing access to information in the ACT Admitted Patient Care and

ACT Emergency Department Information System data collections. • Forensic and Analytical Science Service, NSW Health for providing alcohol and drug test results.

This serious injury research forms part of the routine monitoring activity undertaken by Transport for NSW to improve road safety for the community. It was approved by the following ethics committees –

• Approved by the NSW Population & Health Services Research Ethics Committee on 19th December 2013.

• Approved by the Aboriginal Health & Medical Research Council Ethics Committee on 24th January 2014.

• Approved by the ACT Health Human Research Ethics Committee on 13th November 2013.

Road traffic casualty crashes in New South Wales 2015 6

Preface

Scope of crash statistics This Statistical Statement is the first one to report the severity of injuries from road traffic crashes as identified from hospital records.

Crash statistics included in this Statistical Statement

The crash statistics included in this Statistical Statement are confined to those crashes which conform to the national guidelines for reporting and classifying road vehicle crashes and are based on the following criteria:

1 The crash was reported to the police 2 The crash occurred on a road open to the public 3 The crash involved at least one moving road vehicle 4 The crash involved at least one person being killed or injured. Reports for some crashes are not received until well into the following year and after the annual crash database has been finalised. These amount to fewer than 1% of recorded crashes and are counted in the following year's statistics.

Crash data reported in this Statistical Statement were finalised and released in July 2016.

Casualty statistics included in this Statistical Statement

Fatality and injury statistics included in this Statistical Statement are identified from the police report of the crash as well as from hospital admission and emergency department records from NSW hospitals. All injuries reported in Tables 5 to 36 and Figure 2 are related to a crash conforming to the above criteria. Serious injuries reported in Tables 1 to 4 and Figure 1 include those identified in a police report of a crash as well as those identified from hospital records but not matched to a police report. The health data linkage process is explained further in a following section.

Criteria for reporting crashes in 2015

Prior to 2000, Section 8 (3) of the Traffic Act 1909 required a road crash in New South Wales to be reported to the police when any person was killed or injured or property damage over $500 was sustained.

On 1 December 1999, the Traffic Act was repealed and replaced by new traffic legislation including the adoption of the Australian Road Rules. The new traffic legislation is found in the Road Transport (General) Act 1999 and the Road Transport (Safety and Traffic Management) Act 1999 and the regulations made under those Acts.

Rule 287 (3) of the Road Rules requires a crash to be reported to police when any person is killed or injured; when drivers involved in the crash do not exchange particulars; or when a vehicle involved in the crash is towed away.

As of 15 October 2014 NSW Police do not attend or investigate crashes in which a vehicle is towed away but no-one is injured or killed. These crashes are now required to be self-reported by involved parties to Police via the Police Assistance Line (PAL). If medical attention for an injury is sought more than 24 hours after a crash, this may also be reported via PAL as an injury crash.


How crash data are processed The processing of crash data in New South Wales directly involves three organisations: the NSW Police Force, Spinal Cord Injuries Australia (SCIA) and Transport for NSW. Within Transport for NSW, the Centre for Road Safety (CRS) is the office responsible for the collation and dissemination of road crash data.

As of July 1997 information related to a road crash is entered directly into COPS (Computerised Operational Policing System) by a police officer, using details collected by them from the scene and witness accounts, or a Police Assistance Line (PAL) operator from details provided by the person reporting the crash. A sketch or site diagram of the crash site is completed for casualty crashes where a police officer attended the crash scene.

Completed and verified data for all crashes are transferred from COPS, on a weekly basis, and electronically forwarded to the CRS. The crash information and site diagrams are electronically available to SCIA, a business enterprise employing physically disabled people, contracted to the CRS to provide a coding and data entry service. Using the CrashLink Data Capture System, accurate location information is determined for each crash and the collision summary/narrative describing the crash and data items is interpreted, validated and coded into consistent values. While less information is captured by PAL for self-reported crashes, these crashes are still coded in the same manner with capture of most data fields possible from the available information.

A computer checking process is performed to identify inconsistencies and errors which may have occurred during the data entry and validation phases. In addition, results of blood alcohol analyses and drug tests are regularly obtained from the NSW Health Pathology Forensic and Analytical Science Services. A further checking process is undertaken each quarter to identify and correct any anomalies in the data prior to completion.

In the case of a fatal crash, police officers send a preliminary report, generated from COPS, by facsimile to the CRS. This provides initial information which is used to compile a preliminary database of fatal crashes. Hence, it is possible to monitor and analyse fatal crashes on a daily basis. A site diagram of the crash scene is usually supplied later, which enables location and crash details to be confirmed and updated if required. Final fatal crash data are captured upon receipt of the data regularly received electronically from the NSW Police Force.

Records from linked hospital records are further used to identify and update the different severities of injuries within crashes.

The CRS crash reporting database, known as CrashLink, is used extensively within Transport for NSW for monitoring and research work, strategic planning and the production of routine reports and analyses. Members of the public and organisations such as the Federal Department of Infrastructure and Regional Development, NSW Police Force, National Roads and Motorist’s Association, Australian Bureau of Statistics and Local Governments also regularly use road crash information.

Health data linkage process The inclusion of serious injury information into this Statistical Statement is possible due to the linkage of casualty records from crash reports with hospital records from NSW hospitals in a way which protects the privacy of those involved.

CRS has implemented a routine quarterly linkage (including historic data from 2005) which includes the following data collections –

1. NSW Ministry of Health data collections -

a. NSW Admitted Patient Data Collection - This collection records all admitted patient services provided by New South Wales Public Hospitals, Public Psychiatric Hospitals, Public Multi-Purpose Services, Private Hospitals, and Private Day Procedures Centres.

b. NSW Emergency Department Data Collection - This collection provides information about patient presentations to the emergency departments of public hospitals in NSW.

c. NSW Mortality Data Collection from the NSW Register of Births, Deaths and Marriages – This collection contains mortality information for deaths occurring in NSW.


2. State Insurance Regulatory Authority data collections –

a. Compulsory Third Party – This collection provides information about CTP claimants injured in motor vehicle accidents in NSW.

b. iCare (Lifetime Care) – This collection provides information about iCare participants severely injured on NSW roads.

3. CRS CrashLink crash reporting database.

The record linkage is conducted in two parts. Firstly, the linkage of person records between the data collections is conducted by the Centre for Health Record Linkage (CHeReL). In bringing together these records, the CHeReL uses strict privacy preserving protocols which ensure the security of the data and confidentiality of the individuals and their related records. Only de-identified records are returned to the Centre for Road Safety.

This process includes -

1. Custodians of the data collections to be linked provide the CHeReL with an encrypted source record number and demographic details for each record in their dataset. Note that clinical data is not provided to the CHeReL.

2. The CHeReL links these records using probabilistic matching of the demographic details, and assigns a project person number for records that belong to the same person. The CHeReL person ID and the associated source record numbers form the CHeReL Master Linkage Key (MLK). The MLK provides a 'pointer' to records for a person in different datasets. The CHeReL sends each data custodian a list of Project specific Person Numbers (PPN) and the associated encrypted source record numbers for their database.

During the next stage, the health and crash data are linked. The respective data custodians provide input files which include PPNs and approved variables. The CRS project team load the files into a database and link all records from different datasets for a person using the PPN. Approved CRS researchers are then able to analyse the de-identified output views of linked data.

This process ensures that:

• CHeReL staff performing the linkage use demographic variables but do not have access to the clinical information about the individuals;

• Data custodians only have access to data within their data collections; and

• Researchers receive data which contains no identifying variables, or variables which provide a link back to the CHeReL MLK.

The future inclusion of data from other health data collections could potentially impact numbers presented in this Statistical Statement.

Special notes

Comparing data with previous years Extra injury information from 2005

Linkage of historical crash records with hospital records resulted in the identification of hospital admissions for persons previously identified by Police as uninjured drivers or riders. In 2015, this extra information was used to enhance crash data from 2005 by including the additional injured people as casualties. This also has the effect of changing some towaway crashes to injury crashes. This has resulted, on average, in an additional 360 casualties per year for the years 2005 - 2014. Crash and casualty data reported prior to 2015 will no longer align with statistics reported in this statistical statement. The total number of crashes each year has not been changed by the inclusion of this information.

Tables 5 and 9 in this Statistical Statement include these updated data from 2005 to 2014. Care must be taken when assessing trends over time from years prior to 2005 or from previously published statistical statements.


Injury statistics recording process change 2010 - 2011

A previously reported change in coding practice which resulted in an increase in casualty numbers for 2010-2012 has been amended during 2015. Casualty figures in this Statistical Statement reflect the amended numbers and are considered consistent with other years.

Historical data changes

Due to changes over time in the COPS and CrashLink systems, there may be inconsistencies in the reporting of some data fields.

The introduction of the Graduated Licensing System in 2000 resulted in an increase in the number of Provisional Licence holders.

In 2010 an improvement was made to the identification of contributing factors. This improvement is reflected mainly in Tables 13 and 17. In 2014 a system change made it possible for more than one factor to be captured for each vehicle. Table 17 now counts all contributing factors so slight increases in the number of crashes with factors recorded are expected.

In 2011 the NSW Police Force improved their data export procedures to ensure a more consistent supply of crash data, with a resultant improvement in the identification of injuries from reported crashes.

The introduction of self-reporting for crashes has impacted trends in the crash data from October 2014. Crash records collected directly from involved parties contain less descriptive data making the determination of attributes such as road user movements and contributing factors less reliable or unavailable for these crashes. The factor of fatigue in particular is not set for these crashes. Self-reported crashes make up 30 per cent of injury crashes in 2015.

Statistics on tow-away only crashes are no longer included in this Statistical Statement however are available in other forms on the Centre for Road Safety website.

Pedal cycle crashes It is recognised that a substantial proportion of non-fatal pedal cycle crashes are not reported to police. As the NSW Police Force is the only source of crash notification used in this statement, statistics relating to pedal cycle crashes may not accurately reflect the situation. A serious injury of a pedal cyclist however may be identified from hospital records alone and will be included in the serious injury section of the Statistical Statement.

Zero alcohol limit The Road Transport (Safety and Traffic Management) Act 1999, prescribes a zero alcohol limit in NSW for novice licence holders commencing 3 May 2004. The zero alcohol limit means learner, provisional P1 and provisional P2 licence holders may not consume any alcohol before driving. Relevant tables in this statement incorporate the zero alcohol limit (novice range prescribed concentration of alcohol (PCA) and special range PCA offences).

Local Government Areas The Local Government Areas used in this statement represent the boundaries in force in 2015. These boundaries differ from those represented in versions of this publication prior to 2013.

Speed criteria change Commencing 1 January 2010 the criteria for determining whether a crash can be considered to have involved speeding was improved to assess whether or not the vehicle was travelling in excess of that permitted, based on licence class or vehicle weight. Refer to Speeding on page 11.

2005 serious injury data Serious injury data presented in this Statistical Statement for 2005 are based on the date the crash occurred and differs from subsequent years which are based on when the crash was recorded. As such, total hospitalisations for 2005, as reported in Tables 1 to 4, are under-reported by approximately one per cent.


Criteria for determining speeding and fatigue involvement

Speeding The identification of speeding (excessive speed for the prevailing conditions) as a contributing factor in road crashes cannot always be determined directly from police reports of those crashes. Certain circumstances, however, suggest the involvement of speeding. The Centre for Road Safety has therefore drawn up criteria for determining whether or not a crash is to be considered as having involved speeding as a contributing factor.

Speeding is considered to have been a contributing factor to a road crash if that crash involved at least one speeding motor vehicle.

A motor vehicle is assessed as having been speeding if it satisfies the conditions described below under (a) or (b) or both.

(a) The vehicle’s controller (driver or rider) was charged with a speeding offence; or

the vehicle was described by police as travelling at excessive speed; or

the stated speed of the vehicle was in excess of that permitted for the vehicle controller’s licence class or the vehicle weight (introduced 1 January 2010); or

the stated speed of the vehicle was in excess of the speed limit.

(b) The vehicle was performing a manoeuvre characteristic of excessive speed, that is:

while on a curve the vehicle jack-knifed, skidded, slid or the controller lost control; or

the vehicle ran off the road while negotiating a bend or turning a corner and the controller was not distracted by something or disadvantaged by drowsiness or sudden illness and was not swerving to avoid another vehicle, animal or object and the vehicle did not suffer equipment failure.

Fatigue The identification of fatigue as a contributing factor in road crashes similarly cannot always be determined directly from police reports of those crashes and the following criteria are used to assess its involvement. Fatigue is considered to have been involved as a contributing factor to a road crash if that crash involved at least one fatigued motor vehicle controller.

A motor vehicle controller is assessed as having been fatigued if the conditions described under (c) or (d) are satisfied together or separately.

(c) The vehicle’s controller was described by police as being asleep, drowsy or fatigued.

(d) The vehicle performed a manoeuvre which suggested loss of concentration of the controller due to fatigue, that is

the vehicle travelled onto the incorrect side of a straight road and was involved in a head-on collision (and was not overtaking another vehicle and no other relevant factor was identified); or

the vehicle ran off a straight road or off the road to the outside of a curve and the vehicle was not directly identified as travelling at excessive speed and there was no other relevant factor identified for the manoeuvre.

The limitations on the amount of information that can be determined for crashes self-reported by involved parties to Police via the Police Assistance Line has meant that fatigue cannot be reliably determined for these crashes. Therefore, from 2015, these crashes are not subject to the above assessment for fatigue involvement.


Definitions and explanatory notes Animal rider A person sitting on/riding a horse or other animal.

Articulated truck Comprised of articulated tanker, semi-trailer, low loader, road train and B-double.

Bicycle rider See Pedal cycle rider.

Bus Includes ‘State Transit Authority’ bus and long distance/tourist coach.

Car Includes sedan, station wagon, utility (based on car design), panel van (based on car design), coupe, hatchback, sports car, passenger van and four wheel drive passenger vehicle.

Carriageway That part of the road improved or designed and/or ordinarily used for vehicular movement. When a road has two or more of these portions, divided by a median strip or other physical separation, each of these is a separate carriageway.

Casualty Any person killed or injured as a result of a crash.

Controller A person occupying the controlling position of a road vehicle.

Crash Any apparently unpremeditated event reported to the police and resulting in death, injury or property damage attributable to the movement of a road vehicle on a road.

Driver A controller of a motor vehicle other than a motorcycle.

Emergency Includes ambulance, fire brigade vehicle, police patrol car (or van) and tow truck. vehicle

Fatal crash A crash for which there is at least one fatality.

Fatality A person who dies within 30 days of a crash as a result of injuries received in that crash.

Footpath That part of the road which is ordinarily reserved for pedestrian movement as a matter of right or custom.

Heavy truck Comprised of heavy rigid truck and articulated truck.

Heavy rigid truck Comprised of rigid lorry and rigid tanker with a tare weight in excess of 4.5 tonnes.

Intersection crash A crash for which the first impact occurs at or within 10 metres of an intersection.

Killed See Fatality.

Light truck Includes panel van (not based on car design), utility (not based on car design) and mobile vending vehicle.

Minor/Other A person identified as an injury in a police report who is not matched to a health record injured that indicates the level of injury severity, or is matched to a minor injury CTP claim.

Minor/Other A non-fatal injury crash in which at least one person sustains a minor/other injury and in injury crash which there are no people with any injury of a higher severity.

Moderately A person identified in a police report who is matched to a health record that indicates that injured they were treated at an emergency department but were not admitted for a hospital stay,

or is matched to a CTP claim indicating a moderate or higher injury.

Moderate A non-fatal, injury crash for which at least one person is moderately injured but no people Injury crash were seriously injured. Motor vehicle Any road vehicle which is mechanically or electrically powered but not operated on rails.

Motorcycle Any mechanically or electrically propelled two or three-wheeled machine with or without side-car. Includes solo motorcycle, motorcycle with sidecar, motor scooter, mini-bike, three-wheeled special mobility vehicle and moped (motorised ‘pedal cycle’).

Motorcycle A person on but not controlling a motorcycle. passenger

Motorcycle rider A person occupying the controlling position of a motorcycle.

Newcastle Comprised of the following local government areas: Newcastle and Lake Macquarie. Metropolitan Area


Passenger Any person, other than the controller, who is in, on, boarding, entering, alighting or falling

from a road vehicle at the time of the crash, provided a portion of the person is in/on the road vehicle.

Pedal cycle Any two or three-wheeled device operated solely by pedals and propelled by human power except toy vehicles or other pedestrian conveyances. Includes bicycles with side-car, trailer or training wheels attached.

Pedal cycle A person on but not controlling a pedal cycle. passenger

Pedal cycle rider A person occupying the controlling position of a pedal cycle.

Pedestrian Any person who is not in, on, boarding, entering, alighting or falling from a road vehicle at the time of the crash.

Pedestrian Any device, ordinarily operated on the footpath, by which a pedestrian may move, or by conveyance which a pedestrian may move another pedestrian or goods. Includes non-motorised

scooter, pedal car, skateboard, roller skates, in-line skates, toy tricycle, unicycle, push cart, sled, trolley, non-motorised go-cart, billycart, pram, wheelbarrow, handbarrow, non-motorised wheelchair or any other toy device used as a means of mobility.

Road The area devoted to public travel within a surveyed road reserve. Includes a footpath and cycle path inside the road reserve and a median strip or traffic island.

Road vehicle Any device (except pedestrian conveyance) upon which or by which any person or property may be transported or drawn on a road.

Seriously injured A person identified in a police report and matched to a health record indicating a hospital (matched) stay due to injuries sustained in a crash, or is identified as an iCare (Lifetime Care)

participant.

Seriously injured A person not matched to a police report but identified from health records as having a (unmatched) hospital stay due to an injury on a public road.

Seriously injured A total of matched and unmatched seriously injured. (all hospitalisations)

Serious injury A non-fatal crash in which at least one person is seriously injured. crash

Sydney Comprised of the following local government areas: Sydney, Ashfield, Auburn, Metropolitan Area Bankstown, Blacktown, Botany Bay, Burwood, Camden, Campbelltown, Canada Bay,

Canterbury, Fairfield, Holroyd, Hornsby, Hunters Hill, Hurstville, Kogarah, Ku-ring-gai, Lane Cove, Leichhardt, Liverpool, Manly, Marrickville, Mosman, North Sydney, Parramatta, Penrith, Pittwater, Randwick, Rockdale, Ryde, Strathfield, Sutherland, The Hills, Warringah, Waverley, Willoughby and Woollahra.

Wollongong Comprised of the following local government areas: Wollongong and Shellharbour. Metropolitan Area


Interpreting tables correctly

It is essential to understand which particular data items are being counted in a table in order to avoid mistakes in interpreting them.

Convention for table headings The first word(s) in the title of a table indicates the data items being counted. For example, Table 9 gives counts of casualties, Table 17 gives counts of crashes and Table 34 gives counts of motor vehicle controller casualties. Remaining words in the table titles indicate the classification variables.

EXAMPLE 1

Suppose you wish to know the number of car drivers aged 17-20 years who were killed. If you looked at Table 21a, saw the word fatal in the heading and assumed that the table was counting persons killed, you would deduce that 35 car drivers aged 17-20 were killed. That is not the correct answer. Table 21a is counting motor vehicle controllers involved in fatal crashes regardless of whether those controllers were themselves killed.

To determine the number of car drivers aged 17-20 who were killed you would need to use Table 32a. This table is counting casualties and the degree of casualty is the category killed. The correct answer to the above question, as indicated in this table, is 14.

EXAMPLE 2

Suppose you wish to know how many serious injury crashes involved at least one motorcycle. If you looked at Table 16, and did not note that the table is counting motor vehicles involved in crashes, you might be tempted to assume that the answer to your question was 1,146. That is not the correct answer.

There can be more than one motorcycle involved in a particular crash so to answer this question you need to look at a table which is counting crashes, not motor vehicles involved in crashes.

The correct answer of 1,118 is to be found from Table 15a, which is counting crashes and casualties for particular types of crashes.

EXAMPLE 3

Don’t make assumptions about the nature of persons killed or injured that are not justified by the information presented. Table 15b tells us the numbers of casualties from different types of crashes but does not imply anything about the road user classes of those casualties.

For example, when considering casualties from pedal cycle crashes you cannot assume that all casualties were pedal cycle riders or pedal cycle passengers. Some may be pedestrians or even truck drivers. A little lateral thinking is necessary to understand all the implications.


Serious Injuries (All Hospitalisations)

— Summary data for 2015

— Main points for 2015

— 2015 serious injuries (all hospitalisations) and rates

— Serious injury (all hospitalisations) trends

Summary data for 2015

Compared with 2014

Number Percentage

Number change

Percentage change

SERIOUS INJURIES

Serious injuries (matched) 6,340 52.3 -472 -6.9

Serious injuries (unmatched) 5,781 47.7 173 3.1

Serious injuries (all hospitalisations) 12,121 100.0 -299 -2.4

VEHICLES ON REGISTER1 5,193,100 120,300 2.4

Serious injuries (all hospitalisations) per 10,000 vehicles 23.34 -4.7

LICENCE HOLDERS2 5,245,800 103,400 2.0

Serious injuries (all hospitalisations) per 10,000 licence holders 23.11 -4.3

POPULATION OF STATE3 7,620,200 106,800 1.4

Serious injuries (all hospitalisations) per 100,000 persons 159.06 -3.8

1 As at 30 June 2015. Excludes tractors, trailers, caravans, trader plates, plant and equipment. 2 As at 30 June 2015. Refer to note on Table 38. 3 Estimated resident population as at 30 June 2015 as published in September 2016. Source - Australian Bureau of Statistics.


Main points for 2015

There were 12,121 persons hospitalised from road traffic crashes in 2015, as derived from the data linkage with NSW Health Department admission data. This was 299 fewer hospitalisations (2 per cent) than the previous year and the lowest annual total since 2011.

The number of persons hospitalised per 100,000 population was 159.1, down from 165.3 the previous year. This was the lowest rate since hospitalisation data were consistently tabulated from 2005.

The estimated cost to the community of all road casualties in NSW for 2015 using the Willingness to Pay methodology was around $7.7 billion – hospitalisations accounted for almost half (46 per cent) of this total with $3.5 billion.

Compared with 2014, all road user groups except drivers experienced decreases in hospitalisations in 2015.

There were 4,321 hospitalisations of drivers in 2015, 174 more than the previous year and the highest driver total since records began in 2005. Of all road user groups, drivers accounted for the largest proportion of hospitalisations (36 per cent).

Motorcyclists continue to be the second largest road user group for hospitalisations in 2015, down by 243 (9 per cent) on the previous year and the lowest total since 2010.

In contrast to the fatality statistics, pedal cyclists remain as the third largest road user group for hospitalisations in 2015, down by 89 (4 per cent) on the previous year and the lowest since 2012.

Compared with 2014, all age groups 30 years or more experienced decreases in hospitalisations in 2015.

Twenty-one per cent of all hospitalisations were aged 17 to 25 years, but this age group accounted for only 12 per cent of the NSW population.

Almost two-thirds (65 per cent) of all hospitalisations were males, but they represented only 50 per cent of the NSW population.

Of the 12,121 hospitalisations in 2015, fifty-two per cent were matched to a Police crash report.


Figure 1: Serious injury (all hospitalisations) rate per 10,000 vehicles, 10,000 licence holders and 100,000 population for years 2005 to 2015 in NSW

Note: Serious injury (all hospitalisations) rate is expressed as the number of persons seriously injured in road crashes per 10,000 vehicles on register, per 10,000 licence holders and per 100,000 population.

0

40

80

120

160

200

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Rate per 10,000 licences

Rate per 10,000 vehicles

Rate per 100,000 population


Table 1: Serious injuries (all hospitalisations), year, road user class Road User Class

Year Driver Passenger Motorcyclist Pedestrian Pedal cyclist Other Total

20051 3,934 1,955 2,145 1,236 1,691 806 11,767

2006 4,066 1,995 2,400 1,281 1,794 923 12,459

2007 3,734 1,682 2,404 1,307 1,714 909 11,750

2008 3,637 1,545 2,528 1,193 1,676 793 11,372

2009 3,542 1,673 2,616 1,132 1,696 743 11,402

2010 3,810 1,598 2,454 1,165 1,663 759 11,449

2011 4,031 1,637 2,508 1,139 1,676 680 11,671

2012 4,202 1,745 2,717 1,129 1,874 585 12,252

2013 4,258 1,744 2,769 1,181 2,092 622 12,666

2014 4,147 1,677 2,728 1,166 2,070 632 12,420

2015 4,321 1,659 2,485 1,114 1,981 561 12,121

1 2005 are based on the date the crash occurred and differs from subsequent years which are based on when the crash was recorded.


Table 2: Serious injuries (all hospitalisations), year, age

Age (years) Year 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Total

20051 178 1,576 1,394 1,457 836 1,955 1,577 1,076 677 566 444 31 11,767

2006 174 1,657 1,489 1,480 919 2,062 1,612 1,243 727 600 465 31 12,459

2007 160 1,479 1,288 1,265 853 1,929 1,649 1,200 749 648 500 30 11,750

2008 126 1,335 1,289 1,230 835 1,851 1,548 1,240 792 606 496 24 11,372

2009 126 1,237 1,305 1,232 823 1,774 1,680 1,281 810 570 534 30 11,402

2010 119 1,117 1,304 1,241 836 1,778 1,677 1,330 850 644 539 14 11,449

2011 117 1,030 1,302 1,333 881 1,744 1,711 1,378 940 666 558 11 11,671

2012 124 1,082 1,324 1,331 923 1,875 1,824 1,492 991 686 591 9 12,252

2013 122 1,092 1,350 1,373 927 1,881 1,838 1,618 1,084 714 655 12 12,666

2014 119 919 1,147 1,308 884 1,972 1,799 1,670 1,151 783 654 14 12,420

2015 106 885 1,188 1,342 884 1,841 1,746 1,589 1,113 773 642 12 12,121



Table 3: Serious injuries (all hospitalisations), year, gender Gender

Year Male Female Unknown Total

20051 7,591 4,171 5 11,767

2006 8,051 4,404 4 12,459

2007 7,693 4,053 4 11,750

2008 7,544 3,822 6 11,372

2009 7,551 3,848 3 11,402

2010 7,385 4,063 1 11,449

2011 7,489 4,180 2 11,671

2012 8,022 4,228 2 12,252

2013 8,211 4,450 5 12,666

2014 8,012 4,408 0 12,420

2015 7,836 4,284 1 12,121



Table 4: Serious injuries (all hospitalisations), year, quarter

Year

Quarter

TOTAL Q1 Q2 Q3 Q4

20051 2,898 2,947 2,833 3,089 11,767

2006 3,157 3,127 3,066 3,109 12,459

2007 3,177 2,951 2,792 2,830 11,750

2008 2,815 2,850 2,687 3,020 11,372

2009 2,896 2,671 2,780 3,055 11,402

2010 2,886 2,986 2,665 2,912 11,449

2011 2,977 2,818 2,846 3,030 11,671

2012 3,099 2,996 2,900 3,257 12,252

2013 3,009 3,032 3,178 3,447 12,666

2014 3,285 3,015 2,962 3,158 12,420

2015 3,232 2,957 2,818 3,114 12,121 1 2005 are based on the date the crash occurred and differs from subsequent years which are based on when the crash was recorded.


Casualty crash and casualty trends

— Summary data for 2015

— Main points for 2015

— Historical data

— Fatality and serious injury (matched) rates

— Interstate and international comparisons

— Causes of death

Summary data for 2015

Compared with 2014

Number Percentage

Number change

Percentage change

CRASHES

Fatal crashes 326 1.8 41 14.4

Serious injury crashes 5,591 30.6 -461 -7.6

Moderate injury crashes 6,632 36.3 -1,692 -20.3

Minor/Other injury crashes 5,726 31.3 846 17.3

Total casualty crashes 18,275 100.0 -1,266 -6.5

CASUALTIES

Killed 350 1.5 43 14.0

Seriously injured 6,340 27.0 -472 -6.9

Moderately injured 8,744 37.2 -1,845 -17.4

Minor/Other injured 8,062 34.3 765 10.5

Total casualties 23,496 100.0 -1,509 -6.0

VEHICLES ON REGISTER1 5,193,100 120,300 2.4

Fatalities per 10,000 vehicles 0.67 11.4

LICENCE HOLDERS2 5,245,800 103,400 2.0

Fatalities per 10,000 licence holders 0.67 11.8

POPULATION OF STATE3 7,620,200 106,800 1.4

Fatalities per 100,000 persons 4.59 12.4

1 As at 30 June 2015. Excludes tractors, trailers, caravans, trader plates, plant and equipment. 2 As at 30 June 2015. Refer to note on Table 38. 3 Estimated resident population as at 30 June 2015 as published in September 2016. Source - Australian Bureau of Statistics.


Main points for 2015

The number of persons killed per 100,000 population was 4.6. This is the third lowest fatality rate since records were first compiled in 1908.

There were 18,275 casualty road crashes in New South Wales during 2015. Of these, 326 were fatal crashes and 17,949 were injury crashes. There were 350 persons killed and 23,146 injured.

The estimated cost to the community of these road casualties using the Willingness to Pay methodology was around $7.7 billion.

The number of persons killed was up by 43 (14 per cent) on the previous year and was the highest annual fatality total since 2012.

The number of persons injured in 2015 was down by 1,552 (6 per cent) on the previous year and was the lowest annual injury total since 1962.

With the exception of pedal cyclists, all road user groups experienced fatality increases in 2015 compared with the previous year.

The number of pedestrians killed was the highest since 2007.

With the exception of passengers, all road user groups experienced injury decreases in 2015 compared with the previous year.

Country roads accounted for 34 per cent of all casualty crashes, but 64 per cent of fatal crashes.

At least 16 per cent of motor vehicle occupants killed were not wearing available seat belts.

One of the seven pedal cyclists killed and at least 13 per cent of those injured failed to wear a helmet.

Fifty-six per cent of the pedestrians killed were aged 60 or more, although only 21 per cent of the population is represented by people of this age.

Amongst those crashes in which the alcohol involvement was known, alcohol was a contributing factor in 47 per cent of fatal crashes on Thursday, Friday and Saturday nights, 15 per cent of all fatal crashes and 9 per cent of injury crashes.

At least 4 per cent of all motor vehicle drivers and motorcycle riders who were killed or injured had an illegal blood alcohol concentration. Forty-nine per cent of these casualties were in the high range (0.15 g/100mL or more).

Males accounted for 78 per cent of drivers and motorcycle riders involved in fatal crashes but 88 per cent of those involved in a fatal crash with an illegal blood alcohol concentration.

Crashes which involved speeding represented at least 41 per cent of fatal crashes and 15 per cent of all casualty crashes.

Seventeen per cent of all drivers and motorcycle riders involved in fatal crashes were young persons aged 17 to 25 years, but this age group accounted for only 14 per cent of licence holders.

Twenty-six per cent of all speeding drivers and motorcycle riders involved in fatal crashes were males aged under 30 years. In contrast, only 10 per cent of speeding drivers and motorcycle riders involved in fatal crashes were females in that age group.

Fatigue was assessed as being involved in at least 16 per cent of fatal crashes.

Compared with 2014 there was a 14 per cent increase in fatal crashes and a 14 per cent increase in fatalities in 2015. There were several crash characteristics which increased by more than the overall increase. In particular, passenger fatalities increased by 40 per cent, pedestrian fatalities increased by 49 per cent, pedestrian fatalities aged 60 years or more increased by 113 per cent, motorcycle fatalities aged 40 to 59 increased by 64 per cent, fatalities from light truck crashes increased by 60 per cent, speeding drivers and riders aged 40 to 59 years involved in fatal crashes increased by 104 per cent, fatal crashes on curves increased by 52 per cent and fatalities in the Hunter region increased by 56 per cent.

However, compared with 2014, some notable decreases occurred in 2015 – fatalities in the Illawarra region decreased by 38 per cent, fatalities aged 17 to 25 years decreased by 18 per cent and alcohol related fatalities decreased by 10 per cent.


Table 5: Trends in New South Wales 1950, 1955, 1960, 1965, 1970, 1975, 1980, 1985, 1990-2015 Year Killed Injured Seriously

injured Moderately

injured Minor/Other

injured Total

casualties Fatal

crashes Serious injury

crashes Moderate injury

crashes Minor/Other

injury crashes Total casualty

crashes

1950 634 11,096 11,730 1955 820 16,437 17,257 1960 978 22,655 23,633 910 1965 1,151 29,157 30,308 1,026 1970 1,309 34,886 36,195 1,135 1975 1,288 38,141 39,429 1,150 1980 1,303 38,816 40,119 1,152 1985 1,067 39,336 40,403 954 1990 797 32,153 32,950 702 1991 663 28,085 28,748 585 1992 649 25,920 26,569 576 1993 581 26,368 26,949 518 1994 647 26,160 26,807 553 1995 620 25,963 26,583 563 1996 581 26,029 26,610 538 20,039 1997 576 24,454 25,030 525 18,852 1998 556 26,415 26,971 491 20,158 1999 577 26,748 27,325 506 20,378 2000 603 28,812 29,415 543 22,406 2001 524 29,913 30,437 486 23,168 2002 561 28,447 29,008 501 22,299 2003 539 27,208 27,747 483 21,281 2004 510 26,323 26,833

458 20,607

2005 508 d28,680 6,621 10,662 11,397 29,188 459 5,649 8,229 7,982 22,319 2006 496 d28,897 6,948 11,655 10,294 29,393 449 5,995 8,945 7,170 22,559 2007 435 d29,599 6,402 13,444 9,753 30,034 405 5,589 10,151 6,690 22,835 2008 374 d27,573 6,191 12,366 9,016 27,947 353 5,422 9,450 6,314 21,539 2009 453 d27,958 6,206 12,535 9,217 28,411 408 5,426 9,721 6,344 21,899 2010 405 d27,581 6,224 12,247 9,110 27,986 365 5,439 9,547 6,256 21,607 2011 364 d28,189 6,592 11,890 9,707 28,553 336 5,803 9,306 6,577 22,022 2012 369 d27,204 6,884 11,577 8,743 27,573 336 6,056 9,062 5,967 21,421 2013 333 d26,083 6,932 11,229 7,922 26,416 316 6,161 8,834 5,334 20,645 2014 307 d24,698 6,812 10,589 7,297 25,005 285 6,052 8,324 4,880 19,541 2015 350 23,146 6,340 8,744 8,062 23,496 326 5,591 6,632 5,726 18,275


Table 5: Trends in New South Wales 1950, 1955, 1960, 1965, 1970, 1975, 1980, 1985, 1990-2015 Fatalities per Serious injuries (matched) per

Year Vehicles on register1

(‘000)

Licence holders2 (‘000)

Population3 (‘000)

Total vehicle kilometres travelled4

(‘000,000)

10,000 vehicles

10,000 licences

100,000 population

100 million vehicle km

10,000 vehicles

10,000 licences

100,000 population

100 million vehicle km

1950 478 677 3,193 - 13.26 9.36 19.9 - 1955 709 1,000 3,491 - 11.57 8.20 23.5 - 1960 972 1,275 3,833 - 10.06 7.67 25.5 - 1965 1,296 1,608 4,172 - 8.88 7.16 27.6 - 1970 1,712 2,049 4,522 - 7.65 6.39 28.9 - 1975 2,204 2,532 4,932 - 5.84 5.09 26.1 - 1980 2,587 2,980 5,172 - 5.04 4.37 25.2 - 1985 2,986 3,438 5,465 46,622 3.57 3.10 19.5 2.29 1990 3,224 3,721 5,834 -

2.47 2.14 13.7 -

1991 3,059 3,714 5,899 47,443 2.17 1.79 11.2 1.40 1992 3,208 e3,793 5,958 - 2.02 1.71 10.9 - 1993 3,235 3,871 5,995 - 1.80 1.50 9.7 - 1994 3,263 3,923 6,045 - 1.98 1.65 10.7 - 1995 3,315 3,998 6,106 50,692 1.87 1.55 10.2 1.22 1996 3,363 4,071 6,176 - 1.73 1.43 9.4 -

1997 3,417 3,954 6,246 - 1.69 1.46 9.2 - 1998 3,493 4,030 6,306 s54,216 1.59 1.38 8.8 1.03 1999 3,545 4,086 6,375 s57,259 1.63 1.41 9.1 1.01 2000 3,635 4,146 6,447 s56,262 1.66 1.45 9.4 1.07 2001 3,737 4,157 6,530 s60,210 1.40 1.26 8.0 0.87 2002 3,830 4,243 6,581 s63,425 1.46 1.32 8.5 0.88 2003 3,939 4,317 6,621 s63,617 1.37 1.25 8.1 0.85 2004 4,054 4,345 6,651 s60,661 1.26 1.17 7.7 0.84 2005 4,125 4,397 6,693 s66,025 1.23 1.16 7.6 0.77 16.05 15.06 98.92

10.03

2006 4,220 4,474 6,743 s64,384 1.18 1.11 7.4 0.77 16.46 15.53 103.04 10.79 2007 4,311 4,577 6,834 s64,237 1.01 0.95 6.4 0.68 14.85 13.99 93.68 9.97 2008 4,420 4,642 6,943 s67,863 0.85 0.81 5.4 0.55 14.01 13.34 89.16 9.12 2009 4,516 4,721 7,054 - 1.00 0.96 6.4 - 13.74 13.15 87.98 - 2010 4,633 4,791 7,144 s69,183 0.87 0.85 5.7 0.59 13.43 12.99 87.12 9.00 2011 4,743 4,894 7,219 - 0.77 0.74 5.0 - 13.90 13.47 91.32 - 2012 4,849 4,985 7,307 s67,081 0.76 0.74 5.0 0.55 14.20 13.81 94.21 10.26 2013 4,956 5,061 7,407 - 0.67 0.66 4.5 - 13.99 13.70 93.59 - 2014 5,073 5,142 r7,513 s71,372 0.61 0.60 4.1 0.43 13.43 13.25 90.66 9.54 2015 5,193 5,246 p7,620 - 0.67 0.67 4.6 - 12.21 12.09 83.20 -

1 At 30 June (16 May for 1993 data). Excludes caravans, trailers, tractors and traders plate registrations. From 1986 onwards plant and equipment were omitted. In 1991 the retention period for vehicles with expired registrations was reduced. Registration data from 2000 onwards have been revised as a result of changes to the Roads and Maritime Services vehicle categories. Data prior to 2000 may not necessarily be comparable.

2 At 30 June (16 May for 1993 data). Licences on issue prior to 1997. 3 Estimated Resident Population as at 30 June. Prior to 1966 full-blooded Aborigines were excluded. Prior to 1971 data were defined as Estimated Population. Population data for 2015 are preliminary as published in September 2016. 4 From Australian Bureau of Statistics Survey of Motor Vehicle Use. Prior to 1988 travel by commercial buses was excluded. Prior to 1998 travel is for the 12 months ended 30 September. New methodology introduced for the years 1998 to 2007. Travel for 1998 is for the 12 months ended 31 July. Travel from 2000 to 2011 is for

the 12 months ended 31 October. Changes to methodology introduced for 2008. Travel estimate for 2012 is for the 12 months ended 30 June. Travel estimate for 2014 is for the 12 months ended 31 October.

e – Estimated p – Preliminary r – revised d - Injury figures for 2005 to 2014 revised following matching with NSW Health data for 2005 to 2015. s - Revised estimates of motor vehicle travel for 2008 onwards based on NSW State of Operation figures, estimates prior to 2008 remain based on NSW State of Registration figures.


Figure 2: Fatality rate per 10,000 vehicles, 10,000 licence holders and 100,000 population for years 1950 to 2015 in NSW

Note: Fatality rate is expressed as the number of persons killed in road crashes per 10,000 vehicles on register, per 10,000 licence holders (licences on issue prior to 1997) and per 100,000 population.

0

5

10

15

20

25

30

1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015

Rate per 10,000 licences

Rate per 10,000 vehicles

Rate per 100,000 population


Table 6: Fatality comparison with other Australian States1 and other countries2

Killed Vehicles3

('000) Population4 ('

000)

Fatalities per 10,000

vehicles

Fatalities per 100,000 population

NEW SOUTH WALES 350 5,193 7,620 0.7 4.6

Victoria 252 4,567 5,945 0.6 4.2

Queensland 243 3,771 4,780 0.6 5.1

Western Australia 160 2,185 2,590 0.7 6.2

South Australia 102 1,348 1,699 0.8 6.0

Tasmania 34 450 517 0.8 6.6

Australian Capital Territory 15 284 391 0.5 3.8

Northern Territory 49 155 244 3.2 20.1

AUSTRALIA 1,205 18,008 23,790 0.7 5.1

CANADA 1,834(14) 23,538(14) 35,545(14) 0.8 5.2

DENMARK 180 2,982(14) 5,660 0.6 3.2

FRANCE 3,464 42,476(14) 66,415 0.8 5.2

GERMANY 3,475 55,011(14) 81,198 0.6 4.3

JAPAN 4,859 90,894(14) 127,095 0.5 3.8

NETHERLANDS 620 10,109(14) 16,901 0.6 3.7

NEW ZEALAND 319 3,515 4,597 0.9 6.9

NORWAY 118 3,995(14) 5,166 0.3 2.3

SWEDEN 259 5,923(14) 9,747 0.4 2.7

UNITED KINGDOM 1,804 36,715(14) 64,875 0.5 2.8

UNITED STATES OF AMERICA 38,300 274,805(14) 321,419 1.4 11.9

1 Australian fatality data (except for New South Wales) for 2015 based on the Bureau of Infrastructure, Transport and Regional Economics fatality database as at October 2016.

2 Fatality data are for 2015 for most other countries and are based on Reported Road Casualties Great Britain Annual Report 2015 or the relevant National Statistical Reporting Authorities. Fatality data for 2015 were not available for Canada so 2014 data have been included.

3 Australian figures (except for New South Wales) are as at 31 January 2015 and are from the Australian Bureau of Statistics Motor Vehicle Census Australia. These figures may not agree with registration statistics for individual States and Territories. Data for New South Wales are from Roads and Maritime Services and are as at 30 June 2015. International figures are sourced from Bureau of Infrastructure, Transport and Regional Economics International Road Safety Comparisons 2014, Organisation for Economic Co-operation and Development Road Safety Annual Report 2016 and Transport Canada Collision Statistics 2014.

4 Australian population estimates are from the Australian Bureau of Statistics Australian Demographic Statistics for 30 June 2015 as published for March 2016. Canada population estimates are for 1 July 2014 from Statistics Canada. European population estimates are for 1 January 2015 from Eurostat. Japanese population estimate is from the Japanese Statistics Bureau, Ministry of Internal Affairs and Communications for 1 October 2015. New Zealand population estimate for 30 June 2015 from Ministry of Transport New Zealand. United States population estimate for 1 July 2015 is based on published data from United States Census Bureau.

14 Data for 2014.


Table 7: Deaths within NSW, causes of death, sex, age for 2014

2014 Age (years)

TOTAL3 0-14 15-19 20-24 25-29 30-39 40-49 50-59 60-69 70-79 ≥ 80

Males

Deaths from all causes1 231 78 150 154 464 990 2,023 3,852 5,906 12,247 26,099

All accidental deaths1 20 27 43 51 135 159 137 115 102 289 1,079

Road deaths2 5 16 27 17 31 29 28 24 16 17 211 as % of accidental deaths 25 59 63 33 23 18 20 21 16 6 20 as % of all deaths 2 21 18 11 7 3 1 1 <1 <1 1

Females Deaths from all causes1

212 42 54 72 229 539 1,268 2,344 4,216 16,732 25,711 All accidental deaths1

16 15 13 11 44 44 55 34 80 486 798 Road deaths2 3 13 7 6 8 7 15 10 12 15 96

as % of accidental deaths 19 87 54 55 18 16 27 29 15 3 12 as % of all deaths 1 31 13 8 3 1 1 <1 <1 <1 <1

All persons Deaths from all causes1

443 120 204 226 693 1,529 3,291 6,196 10,122 28,979 51,810 All accidental deaths1

36 42 56 62 179 203 192 149 182 775 1,877 Road deaths2 8 29 34 23 39 36 43 34 28 32 307

as % of accidental deaths 22 69 61 37 22 18 22 23 15 4 16 as % of all deaths 2 24 17 10 6 2 1 1 <1 <1 1

Note 1 Underlying Cause of Death Data supplied by Australian Bureau of Statistics. Deaths registered in NSW and cause of death based on ICD Codes – Deaths from all causes (A00 - Y98)

and All accidental deaths (V01 - X59). 2 Transport for NSW Crash Data. 3 Includes deaths where age unknown.


Table 8: Fatalities, year, month

Year Month

TOTAL Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1950 51 36 54 59 50 57 63 46 51 46 68 53 634 1951 53 40 72 64 66 77 55 59 63 68 50 61 728 1952 58 58 65 82 70 52 50 49 51 52 50 63 700 1953 54 51 59 63 61 60 60 68 61 64 35 68 704 1954 51 70 56 76 65 54 62 73 67 73 47 60 754 1955 79 57 70 90 64 56 66 65 48 73 72 80 820 1956 56 60 80 66 71 71 62 57 70 64 65 79 801 1957 52 53 63 61 82 66 60 76 53 48 76 75 765 1958 70 54 70 60 86 67 76 64 66 63 64 84 824 1959 79 34 63 66 80 94 75 78 66 66 79 79 859 1960 79 82 73 94 81 87 110 89 62 79 59 83 978 1961 63 55 83 70 79 102 92 79 93 52 63 87 918 1962 72 58 72 62 91 66 88 75 74 67 58 93 876 1963 70 46 79 73 86 85 78 93 72 81 43 94 900 1964 78 76 93 83 111 72 78 87 84 88 71 89 1,010 1965 79 89 94 101 96 129 99 71 83 112 88 110 1,151 1966 98 66 88 126 99 94 96 73 71 117 95 120 1,143 1967 87 79 94 82 93 89 106 100 94 98 92 103 1,117 1968 90 104 103 72 102 110 102 96 100 100 105 127 1,211 1969 86 77 80 119 103 111 107 103 91 97 98 116 1,188 1970 105 89 118 136 116 91 92 115 94 129 107 117 1,309 1971 85 93 99 101 124 108 109 118 102 115 92 103 1,249 1972 73 59 86 94 112 74 85 114 95 94 90 116 1,092 1973 98 85 88 113 107 96 88 112 126 80 107 130 1,230 1974 103 95 101 94 108 113 93 113 112 105 105 133 1,275 1975 106 111 115 94 116 108 88 111 121 100 109 109 1,288 1976 92 76 95 113 126 102 99 106 129 116 98 112 1,264 1977 92 106 109 121 104 87 98 111 89 121 109 121 1,268 1978 114 95 126 101 122 129 128 123 113 104 104 125 1,384 1979 73 75 134 121 120 92 108 109 122 107 103 126 1,290 1980 99 62 97 128 112 103 134 128 92 118 124 106 1,303 1981 112 93 85 125 107 85 112 94 104 116 124 134 1,291 1982 134 113 90 119 101 96 104 106 98 101 107 84 1,253 1983 70 57 91 91 79 79 81 79 86 77 83 93 966 1984 89 76 103 71 96 90 56 91 85 75 97 108 1,037 1985 74 85 77 84 92 71 82 81 97 98 94 132 1,067 1986 89 85 100 74 107 76 76 74 81 101 77 89 1,029 1987 86 58 82 84 69 83 77 63 84 112 74 87 959 1988 89 75 97 75 81 74 85 79 92 107 84 99 1,037 1989 56 82 82 45 77 97 75 64 93 96 69 124 960 1990 52 52 87 57 59 70 83 66 80 62 55 74 797 1991 61 47 52 59 55 52 61 55 59 57 49 56 663 1992 55 56 56 47 41 59 53 65 50 62 55 50 649 1993 44 31 56 51 37 42 42 59 42 59 55 63 581 1994 56 41 65 54 51 42 52 38 43 73 69 63 647 1995 38 50 61 46 48 57 51 53 41 60 59 56 620 1996 23 49 49 62 48 56 50 52 43 52 47 50 581 1997 69 44 39 42 58 38 53 47 35 47 62 42 576 1998 47 39 61 43 58 51 36 51 37 47 31 55 556 1999 52 41 61 47 60 40 39 44 52 43 48 50 577 2000 50 52 48 55 53 48 58 33 50 39 49 68 603 2001 38 39 42 42 56 35 44 51 35 46 46 50 524 2002 39 45 50 46 56 57 35 51 50 45 43 44 561 2003 42 40 49 47 42 32 35 51 40 57 52 52 539 2004 52 44 48 34 39 41 44 43 35 43 47 40 510 2005 35 38 37 45 56 40 50 40 44 40 37 46 508 2006 57 39 54 49 37 43 34 34 33 42 38 36 496 2007 34 30 42 47 31 41 41 30 32 33 37 37 435 2008 28 29 29 26 24 30 34 35 33 39 31 36 374 2009 26 34 39 55 36 34 27 49 42 45 30 36 453 2010 43 34 26 43 37 33 23 27 37 39 38 25 405 2011 28 30 31 25 25 27 29 38 29 23 39 40 364 2012 32 25 33 33 31 34 24 36 30 28 35 28 369 2013 15 33 30 26 24 32 26 33 15 37 34 28 333

2014 34 29 26 20 30 25 19 27 24 26 29 18 307 2015 37 16 24 24 35 25 31 40 26 32 32 28 350


Table 9: Casualties, year, road user class, degree of casualty1

Road user class

Motor vehicle driver Motor vehicle passenger

K S M O TI K S M O TI 1960 273 7,029 248 8,801 1965 411 11,225 373 11,714 1970 494 13,710 387 12,719 1971 465 14,671 395 12,620 1972 370 14,392 331 12,271 1973 426 15,754 358 12,904 1974 436 16,156 361 12,974 1975 475 14,469 368 13,384 1976 455 14,131 370 13,154 1977 489 14,744 347 13,619 1978 537 16,339 396 14,700 1979 515 14,821 362 12,623 1980 487 15,390 359 12,940 1981 504 15,538 325 12,883 1982 453 13,258 322 11,087 1983 339 12,684 232 10,381 1984 374 14,001 275 10,753 1985 412 15,861 264 11,779 1986 393 15,964 262 11,591 1987 356 16,117 262 11,447 1988 403 15,795 270 10,685 1989 356 15,627 303 10,535 1990 310 14,469 200 9,082 1991 304 12,563 172 8,160 1992 287 11,883 176 7,490 1993 274 12,197 135 7,577 1994 258 12,388 181 7,127 1995 281 12,228 139 7,375 1996 234 12,280 146 7,174 1997 263 11,705 137 6,713 1998 247 12,653 148 7,344 1999 263 13,348 139 7,289 2000 278 15,270 146 7,308 2001 219 16,270 133 7,468 2002 276 15,553 123 6,856 2003 239 15,125 137 6,549 2004 229 14,749 122 6,051 2005 235 3,360 7,102 6,847 17,309 100 1,215 1,788 2,805 5,808 2006 249 3,531 7,966 6,134 17,631 102 1,212 1,827 2,550 5,589 2007 215 3,226 9,299 5,712 18,237 77 1,034 2,200 2,494 5,728 2008 194 3,117 8,425 5,357 16,899 67 943 1,914 2,124 4,981 2009 210 3,004 8,626 5,610 17,240 102 1,022 1,755 2,154 4,931 2010 185 3,224 8,543 5,601 17,368 89 893 1,674 2,169 4,736 2011 181 3,450 8,301 6,143 17,894 73 941 1,575 2,327 4,843 2012 164 3,587 8,168 5,563 17,318 82 999 1,412 1,969 4,380 2013 155 3,614 7,948 5,027 16,589 49 933 1,350 1,837 4,120 2014 153 3,442 7,551 4,786 15,779 43 917 1,246 1,647 3,810 2015 155 3,343 6,171 5,414 14,928 60 884 1,110 1,823 3,817

1 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured TI – Total injured.



Road user class

Motorcycle rider Motor cycle passenger

K S M O TI K S M O TI 1960 39 1,409 9 241 1965 28 901 4 95 1970 93 2,967 17 311 1971 106 3,783 16 437 1972 98 4,292 17 443 1973 130 4,852 22 533 1974 140 5,181 16 617 1975 142 4,483 19 609 1976 135 4,239 25 551 1977 125 4,055 15 508 1978 137 3,731 10 498 1979 127 3,783 22 506 1980 152 4,366 21 610 1981 146 4,643 26 655 1982 178 4,387 25 631 1983 143 4,817 10 590 1984 135 5,181 18 571 1985 122 5,220 21 573 1986 146 4,364 18 560 1987 119 4,053 19 455 1988 111 3,609 12 388 1989 98 3,064 11 307 1990 84 2,537 6 240 1991 54 2,220 4 212 1992 55 1,936 4 194 1993 41 1,884 5 164 1994 50 1,897 6 193 1995 57 1,848 2 174 1996 52 1,808 6 166 1997 43 1,707 1 142 1998 49 1,879 3 163 1999 51 1,770 4 149 2000 60 1,894 2 138 2001 68 2,007 2 151 2002 51 1,994 4 141 2003 56 1,826 3 110 2004 57 1,963 1 123 2005 61 847 661 514 2,022 3 48 35 40 123 2006 65 996 760 499 2,255 1 36 38 38 112 2007 57 949 767 493 2,209 4 42 44 44 130 2008 52 1,018 857 508 2,383 3 43 44 38 125 2009 66 1,084 945 542 2,571 3 41 43 36 120 2010 57 1,043 889 494 2,426 4 30 36 37 103 2011 47 1,120 920 457 2,497 4 33 33 34 100 2012 60 1,228 970 461 2,659 1 39 31 43 113 2013 67 1,245 917 404 2,566 4 41 47 35 123 2014 58 1,287 864 366 2,517 1 49 31 25 105 2015 66 1,098 716 320 2,134 1 26 23 24 73

1 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured TI – Total injured.



Road user class

Pedestrian Pedal cyclist2

K S M O TI K S M O TI 1960 367 4,022 42 1,128 1965 301 4,254 29 942 1970 291 4,346 26 792 1971 250 4,292 16 820 1972 256 4,586 19 788 1973 271 4,563 21 648 1974 296 4,719 25 738 1975 257 4,370 22 766 1976 259 4,335 19 857 1977 266 4,349 23 1,089 1978 281 4,571 22 1,020 1979 230 4,120 32 1,115 1980 252 4,161 31 1,326 1981 267 3,953 22 1,272 1982 256 3,788 19 1,390 1983 212 3,963 29 1,522 1984 211 4,116 23 1,624 1985 223 4,210 23 1,682 1986 191 3,989 19 1,747 1987 178 4,255 22 1,870 1988 205 4,177 34 1,949 1989 173 3,980 19 1,800 1990 177 3,944 20 1,860 1991 119 3,431 10 1,468 1992 121 3,104 6 1,300 1993 117 3,091 8 1,443 1994 129 3,220 23 1,320 1995 130 3,154 11 1,170 1996 130 3,234 13 1,346 1997 114 2,985 18 1,194 1998 102 3,150 7 1,223 1999 108 3,024 12 1,164 2000 110 2,979 6 1,218 2001 88 2,861 13 1,142 2002 94 2,607 13 1,292 2003 94 2,490 9 1,107 2004 85 2,301 16 1,116 2005 96 816 684 723 2,223 13 335 391 462 1,188 2006 72 840 628 661 2,129 7 333 436 410 1,179 2007 68 834 677 615 2,126 14 316 456 392 1,164 2008 49 790 677 626 2,093 8 280 448 363 1,091 2009 59 719 667 550 1,936 13 336 497 325 1,158 2010 59 723 666 481 1,870 11 311 438 328 1,077 2011 49 750 642 465 1,857 10 296 419 280 995 2012 55 691 582 434 1,707 7 340 412 273 1,025 2013 44 732 544 388 1,664 14 367 423 229 1,019 2014 41 766 507 284 1,557 11 349 390 187 926 2015 61 664 415 302 1,381 7 322 307 178 807

1 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured TI – Total injured. 2 Includes pedal cycle passengers.



Road user class

Other3 All road users

K S M O TI K S M O TI 1960 0 25 978 22,655 1965 5 26 1,151 29,157 1970 1 41 1,309 34,886 1971 1 37 1,249 36,660 1972 1 42 1,092 36,814 1973 2 40 1,230 39,294 1974 1 44 1,275 40,429 1975 5 60 1,288 38,141 1976 1 60 1,264 37,327 1977 3 43 1,268 38,407 1978 1 16 1,384 40,875 1979 2 16 1,290 36,984 1980 1 23 1,303 38,816 1981 1 24 1,291 38,968 1982 0 12 1,253 34,553 1983 1 21 966 33,978 1984 1 25 1,037 36,271 1985 2 11 1,067 39,336 1986 0 15 1,029 38,230 1987 3 22 959 38,219 1988 2 13 1,037 36,616 1989 0 11 960 35,324 1990 0 21 797 32,153 1991 0 31 663 28,085 1992 0 13 649 25,920 1993 1 12 581 26,368 1994 0 15 647 26,160 1995 0 14 620 25,963 1996 0 21 581 26,029 1997 0 8 576 24,454 1998 0 3 556 26,415 1999 0 4 577 26,748 2000 1 5 603 28,812 2001 1 14 524 29,913 2002 0 4 561 28,447 2003 1 1 539 27,208 2004 0 20 510 26,323 2005 0 0 1 6 7 508 6,621 10,662 11,397 28,680 2006 0 0 0 2 2 496 6,948 11,655 10,294 28,897 2007 0 1 1 3 5 435 6,402 13,444 9,753 29,599 2008 1 0 1 0 1 374 6,191 12,366 9,016 27,573 2009 0 0 2 0 2 453 6,206 12,535 9,217 27,958 2010 0 0 1 0 1 405 6,224 12,247 9,110 27,581 2011 0 2 0 1 3 364 6,592 11,890 9,707 28,189 2012 0 0 2 0 2 369 6,884 11,577 8,743 27,204 2013 0 0 0 2 2 333 6,932 11,229 7,922 26,083 2014 0 2 0 2 4 307 6,812 10,589 7,297 24,698 2015 0 3 2 1 6 350 6,340 8,744 8,062 23,146

1 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured TI – Total injured. 3 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Road casualty crashes in 2015

— Time distribution

— Crash types

— Motor vehicle types

— Factors in crashes

— Controllers in crashes

— Location and distribution of crashes

Table 10: Crashes, casualties, holiday periods, degree of crash, degree of casualty Degree of crash1 Degree of casualty2 Period

FC SC MC OC

Total casualty crashes K S M O

Total killed

& injured

New Year (1 January) (1 day)

0 10 14 11 35 0 11 18 15 44

Australia Day (23 January to 26 January) (4 days)

6 46 68 34 154 7 53 98 51 209

Easter (2 April to 6 April) (5 days)

3 69 91 65 228 4 87 133 103 327

Anzac Day (25 April) (1 day)

1 17 12 12 42 1 19 17 16 53

Queen’s Birthday (5 June to 8 June) (4 days)

4 73 57 42 176 4 78 84 67 233

Labour Day (2 October to 5 October) (4 days)

3 48 59 49 159 3 53 87 79 222

Christmas (24 December to 31 December) (8 days)

10 109 103 85 307 11 129 148 154 442

SCHOOL HOLIDAYS

January (1 January to 26 January) (26 days) 30 341 477 329 1,177 34 394 627 511 1,566

End Term 1 (2 April to 19 April) (18 days)

15 262 308 243 828 16 302 419 343 1,080

End Term 2 (27 June to 12 July) (16 days)

13 237 301 274 825 13 278 389 398 1,078

End Term 3 (19 September to 5 October) (17 days)

12 211 288 240 751 12 236 392 356 996

December (19 December to 31 December) (13 days) 14 197 194 164 569 15 227 270 267 779

1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured


Table 11a: Fatal crashes, time period, day of week

Day of week

Time period1 Sunday Monday Tuesday Wednesday Thursday Friday Saturday Total

00:01 - 01:59 5 5 3 0 2 2 2 19

02:00 - 03:59 2 3 1 1 0 0 5 12

04:00 - 05:59 2 0 1 1 2 2 0 8

06:00 - 07:59 2 2 2 8 4 3 3 24

08:00 - 09:59 11 2 4 6 2 2 2 29

10:00 - 11:59 9 8 7 5 3 4 6 42

12:00 - 13:59 2 2 4 4 5 4 6 27

14:00 - 15:59 8 6 6 11 2 8 7 48

16:00 - 17:59 4 7 6 8 5 6 12 48

18:00 - 19:59 5 2 7 2 4 4 2 26

20:00 - 21:59 3 3 1 3 3 1 3 17

22:00 - Midnight 3 1 2 2 7 6 5 26

Unknown 0 0 0 0 0 0 0 0

CRASHES:

TOTAL 56 41 44 51 39 42 53 326 1 In the case of a fatal crash reported with an unknown time, a time period is estimated.

Table 11b: Serious injury crashes, time period, day of week

Day of week

Time period Sunday Monday Tuesday Wednesday Thursday Friday Saturday Total

00:01 - 01:59 40 17 25 18 19 21 53 193

02:00 - 03:59 31 8 12 11 17 11 30 120

04:00 - 05:59 23 23 33 24 20 21 25 169

06:00 - 07:59 24 70 85 76 67 67 45 434

08:00 - 09:59 70 98 94 105 117 74 72 630

10:00 - 11:59 98 89 88 90 96 85 115 661

12:00 - 13:59 106 79 82 93 85 93 109 647

14:00 - 15:59 113 108 109 101 93 119 115 758

16:00 - 17:59 96 115 120 127 113 141 100 812

18:00 - 19:59 52 78 76 78 97 92 84 557

20:00 - 21:59 52 44 43 58 74 61 44 376

22:00 - Midnight 33 23 24 30 36 38 49 233

Unknown 0 0 0 0 0 1 0 1

CRASHES:

TOTAL 738 752 791 811 834 824 841 5,591


Table 11c: Moderate injury crashes, time period, day of week Day of week


00:01 - 01:59 32 17 17 12 13 14 41 146

02:00 - 03:59 25 7 9 7 13 12 19 92

04:00 - 05:59 28 15 23 25 16 24 16 147

06:00 - 07:59 40 88 96 80 80 78 50 512

08:00 - 09:59 50 115 126 127 120 117 83 738

10:00 - 11:59 95 105 106 99 98 99 131 733

12:00 - 13:59 126 121 119 108 116 115 122 827

14:00 - 15:59 117 121 138 150 145 143 137 951

16:00 - 17:59 100 162 164 153 174 146 119 1,018

18:00 - 19:59 85 90 127 115 114 131 88 750

20:00 - 21:59 50 58 65 47 55 67 60 402

22:00 - Midnight 43 37 29 35 46 64 61 315

Unknown 0 0 0 1 0 0 0 1

CRASHES:

TOTAL 791 936 1,019 959 990 1,010 927 6,632

Table 11d: Minor/Other injury crashes, time period, day of week

Day of week


00:01 - 01:59 26 8 8 8 10 10 19 89

02:00 - 03:59 11 4 3 6 8 4 10 46

04:00 - 05:59 15 16 16 17 13 13 15 105

06:00 - 07:59 20 70 85 93 71 67 28 434

08:00 - 09:59 22 129 143 137 128 115 64 738

10:00 - 11:59 77 85 106 89 87 87 113 644

12:00 - 13:59 83 94 73 91 89 80 114 624

14:00 - 15:59 90 136 120 137 111 131 126 851

16:00 - 17:59 103 148 197 162 186 152 92 1,040

18:00 - 19:59 73 82 79 119 111 116 72 652

20:00 - 21:59 35 46 48 38 48 66 43 324

22:00 - Midnight 15 18 19 31 23 40 32 178

Unknown 0 0 0 0 0 1 0 1

CRASHES:

TOTAL 570 836 897 928 885 882 728 5,726


Table 11e: Total casualty crashes, time period, day of week

Day of week


00:01 - 01:59 103 47 53 38 44 47 115 447

02:00 - 03:59 69 22 25 25 38 27 64 270

04:00 - 05:59 68 54 73 67 51 60 56 429

06:00 - 07:59 86 230 268 257 222 215 126 1,404

08:00 - 09:59 153 344 367 375 367 308 221 2,135

10:00 - 11:59 279 287 307 283 284 275 365 2,080

12:00 - 13:59 317 296 278 296 295 292 351 2,125

14:00 - 15:59 328 371 373 399 351 401 385 2,608

16:00 - 17:59 303 432 487 450 478 445 323 2,918

18:00 - 19:59 215 252 289 314 326 343 246 1,985

20:00 - 21:59 140 151 157 146 180 195 150 1,119

22:00 - Midnight 94 79 74 98 112 148 147 752

Unknown 0 0 0 1 0 2 0 3

CRASHES:

TOTAL 2,155 2,565 2,751 2,749 2,748 2,758 2,549 18,275


Table 12: Crashes, time period, degree of crash Degree of crash

Time period1

Fatal crash Serious injury crash Moderate injury crash Minor/Other injury crash Total casualty crashes

A 33 (1.3%) 768 (30.3%) 869 (34.3%) 861 (34.0%) 2,531 (100.0%)

B 17 (3.1%) 210 (38.2%) 216 (39.3%) 107 (19.5%) 550 (100.0%)

C 73 (1.6%) 1,364 (30.3%) 1,648 (36.6%) 1,414 (31.4%) 4,499 (100.0%)

D 17 (1.7%) 319 (31.0%) 363 (35.2%) 331 (32.1%) 1,030 (100.0%)

E 21 (2.5%) 298 (35.0%) 307 (36.1%) 225 (26.4%) 851 (100.0%)

F 48 (1.5%) 827 (26.5%) 1,150 (36.9%) 1,091 (35.0%) 3,116 (100.0%)

G 25 (1.1%) 634 (28.5%) 797 (35.8%) 771 (34.6%) 2,227 (100.0%)

H 32 (2.0%) 500 (31.1%) 579 (36.0%) 496 (30.9%) 1,607 (100.0%)

I 26 (3.0%) 304 (35.4%) 328 (38.2%) 201 (23.4%) 859 (100.0%)

J 34 (3.4%) 366 (36.5%) 374 (37.3%) 228 (22.8%) 1,002 (100.0%)

Unknown 0 (0.0%) 1 (33.3%) 1 (33.3%) 1 (33.3%) 3 (100.0%)

CRASHES:

TOTAL 326 (1.8%) 5,591 (30.6%) 6,632 (36.3%) 5,726 (31.3%) 18,275 (100.0%)

1 Time periods A to J are as shown on the next page. In the case of a fatal crash reported with an unknown time, a time period is estimated.


The time periods on the previous page were defined by A.J. McLean, O.T. Holubowycz and B.L. Sandow in their report Alcohol and Crashes: Identification of Relevant Factors in this Association, Department of Transport, Australia, 1980. The ten time periods, A to J, exhibit different characteristics of traffic conditions, driver/rider behaviour and trip purpose.

For example time period I is from 9 pm on Sunday, Monday, Tuesday and Wednesday nights to 3 am the following mornings.


(Number in each cell indicates number of crashes with a first impact of that type) Figure 3a: Fatal crashes, road user movement PEDESTRIANS

(ON FOOT OR IN TOY/PRAM)

VEHICLES FROM ADJACENT

DIRECTIONS (INTERSECTIONS ONLY)

VEHICLES FROM

OPPOSING DIRECTION

VEHICLES FROM SAME DIRECTION

MANOEUVRING OVERTAKING ON PATH OFF PATH, ON STRAIGHT

OFF PATH, ON CURVE OR TURNING

MISCELLANEOUS

Vehicles in same lane

NEAR SIDE 21 CROSS TRAFFIC 9 HEAD ON

(not overtaking) 63 REAR END 10 U TURN 3 HEAD ON (incl. side swipe) 2 PARKED 1

OFF CARRIAGEWAY TO LEFT 2

OFF CARRIAGEWAY TO LEFT ON RIGHT BEND 6 FELL IN/FROM

VEHICLE 1

OFF

EMERGING 1 RIGHT FAR 0 RIGHT THRU 12 LEFT REAR 0 U TURN INTO FIXED OBJECT PKD VEHICLE 0 OUT OF CONTROL 0 DOUBLE PARKED 0

LEFT OFF CARRIAGEWAY INTO OBJECT/ PARKED VEH. 20

CARRIAGEWAY LEFT ON R.H. BEND INTO OBJECT / PKD VEH 31 LOAD OR MISSILE

STRUCK VEHICLE 0

FAR SIDE 18 LEFT FAR 0 LEFT THRU 0 RIGHT REAR 2 LEAVING PARKING 0 PULLING OUT 0 ACCIDENT OR

BREAK DOWN 1 OFF CARRIAGEWAY TO RIGHT 2

OFF CARRIAGEWAY TO RIGHT ON RIGHT BEND 0 STRUCK TRAIN /

AEROPLANE 1

Vehicles in parallel lanes

PLAYING, WORKING, LYING, STANDING ON CARRIAGEWAY 8 RIGHT NEAR 6 RIGHT/LEFT 0 LANE

SIDE SWIPE 1 ENTERING PARKING 0 OVERTAKE

TURNING 0 VEHICLE DOOR 0

RIGHT OFF CARRIAGEWAY INTO OBJECT/ PARKED VEH 13

OFF CARRIAGEWAY, RIGHT ON R.H. BEND INTO OBJECT / PKD VEH 5

PARKED VEH RUN AWAY INTO OBJECT / PKD VEH 0

WALKING WITH TRAFFIC 4 TWO R TURNING 0 RIGHT/RIGHT 0

LANE CHANGE RIGHT (not overtaking) 2

PARKING VEHICLES ONLY 0 CUTTING IN 0

PERMANENT OBSTRUCTION ON CARRIAGEWAY 4

OUT OF CONTROL ON CARRIAGEWAY 7

OFF CARRIAGEWAY TO RIGHT ON LEFT BAND 3

PARKED VEH RUN AWAY INTO VEHICLE 0

OFF CARRIAGEWAY

FACING TRAFFIC 0 RIGHT/LEFT FAR 0 LEFT/LEFT 0 LANE CHANGE LEFT 0 REVERSING 0 PULLING OUT

REAR END 0 TEMPORARY ROADWORKS 0

OFF END OF ROAD/ ‘T’ INTERSECTION 3

TO RIGHT ON L.H. BEND INTO OBJECT VEH 19

STRUCK WHILE BOARDING OR ALIGHTING VEHICLE 0

ON FOOTPATH/ MEDIAN 0 LEFT NEAR 1

RIGHT TURN SIDE SWIPE 0

REVERSING INTO FIXED OBJECT/ PKD VEHICLE 0

STRUCK OBJECT ON CARRIAGEWAY 0

OFF CARRIAGEWAY TO LEFT ON LEFT BEND 2

OFF

DRIVEWAY 1 LEFT/RIGHT FAR 0 LEFT TURN SIDE SWIPE 0

EMERGING FROM DRIVEWAY 3

ANIMAL (not ridden) 2

CARRIAGEWAY TO LEFT ON L.H. BEND INTO OBJ/PKD VEH 7

TWO LEFT TURNING 0 FROM FOOTPATH 1 OUT OF CONTROL ON CARRIAGEWAY 12 OTHER 0

OTHER PEDESTRIAN 7 OTHER ADJACENT 0 OTHER OPPOSING 0 OTHER SAME

DIRECTION 3 OTHER MANOEUVRING 2 OTHER

OVERTAKING 2 OTHER ON PATH 0 OTHER STRAIGHT 1 OTHER CURVE 1 UNKNOWN 0


(Number in each cell indicates number of crashes with a first impact of that type)

Figure 3b: Serious injury crashes, road user movement PEDESTRIANS




VEHICLES FROM

OPPOSING DIRECTION




MISCELLANEOUS


NEAR SIDE 268 CROSS TRAFFIC 337 HEAD ON

(not overtaking) 352 REAR END 536 U TURN 83 HEAD ON (incl. side swipe) 9 PARKED 13



VEHICLE 24

OFF

EMERGING 49 RIGHT FAR 37 RIGHT THRU 450 LEFT REAR 23 U TURN INTO FIXED OBJECT PKD VEHICLE 7 OUT OF CONTROL 7 DOUBLE PARKED 0

LEFT OFF CARRIAGEWAY INTO OBJECT/ PARKED VEH. 494


STRUCK VEHICLE 0




AEROPLANE 0















OFF CARRIAGEWAY











OFF










(Number in each cell indicates number of crashes with a first impact of that type)

Figure 3c: Total casualty crashes, road user movement PEDESTRIANS




VEHICLES FROM

OPPOSING DIRECTION




MISCELLANEOUS


NEAR SIDE 573 CROSS TRAFFIC 1,238 HEAD ON

(not overtaking) 781 REAR END 3,928 U TURN 265 HEAD ON (incl. side swipe) 18 PARKED 31



VEHICLE 47

OFF

EMERGING 90 RIGHT FAR 161 RIGHT THRU 1,334 LEFT REAR 153 U TURN INTO FIXED OBJECT PKD VEHICLE 19 OUT OF CONTROL 15 DOUBLE PARKED 0

LEFT OFF CARRIAGEWAY INTO OBJECT/ PARKED VEH. 1,223


STRUCK VEHICLE 4




AEROPLANE 1















OFF CARRIAGEWAY











OFF










Table 13: Crashes, object hit in first impact, degree of crash

Degree of crash

Object hit in first impact

Fatal crash

Serious injury crash

Moderate injury crash

Minor/Other injury crash

Total casualty crashes

Bridge/wall 2 19 26 5 52 Fence/post 17 303 293 90 703 Pole 13 196 131 49 389 Embankment 5 128 143 39 315 Tree 50 422 356 133 961 Street furniture 5 62 77 21 165 Drain or culvert 3 49 56 12 120 Building 0 14 17 7 38 Other object 4 81 77 32 194 Stock 1 10 9 11 31 Kangaroo/wallaby 0 44 38 20 102 Other animal 1 14 8 9 32 Unknown 0 0 3 0 3 Sub-total 101 1,342 1,234 428 3,105 No object hit 225 4,249 5,398 5,298 15,170 CRASHES: TOTAL 326 5,591 6,632 5,726 18,275

Table 14: Single motor vehicle crashes, vehicle type, degree of crash Degree of crash

Vehicle type Fatal crash





Car 67 1,045 1,149 379 2,640

Light truck 20 212 237 79 548

Heavy rigid truck 1 35 19 8 63

Articulated truck 5 54 29 14 102

Bus 0 6 4 3 13

Other motor vehicle 3 6 8 4 21

Motorcycle 27 496 281 118 922

SINGLE MOTOR VEHICLE CRASHES: TOTAL

123 1,854 1,727 605 4,309

Note: Vehicles hitting pedestrians are not included in this table.


Table 15a: Crashes, type of crash, degree of crash

Type of crash1

Degree of crash

Fatal crash





Car crash 220 (1.4%) 4,279 (27.8%) 5,673 (36.9%) 5,219 (33.9%) 15,391 (100.0%)

Light truck crash 73 (2.1%) 981 (27.9%) 1,265 (36.0%) 1,192 (34.0%) 3,511 (100.0%)

Heavy truck crash 52 (5.2%) 369 (36.6%) 323 (32.0%) 265 (26.3%) 1,009 (100.0%)

Heavy rigid truck crash 22 (3.8%) 211 (36.1%) 178 (30.5%) 173 (29.6%) 584 (100.0%)

Articulated truck crash 31 (6.9%) 168 (37.5%) 152 (33.9%) 97 (21.7%) 448 (100.0%)

Bus crash 5 (2.3%) 72 (33.5%) 70 (32.6%) 68 (31.6%) 215 (100.0%)

Emergency vehicle crash 2 (2.2%) 21 (23.3%) 38 (42.2%) 29 (32.2%) 90 (100.0%)

Motorcycle crash 68 (3.1%) 1,118 (50.5%) 713 (32.2%) 315 (14.2%) 2,214 (100.0%)

Pedal cycle crash 7 (0.9%) 327 (40.6%) 306 (38.0%) 166 (20.6%) 806 (100.0%)

Pedestrian crash 62 (4.5%) 653 (46.9%) 404 (29.0%) 272 (19.6%) 1,391 (100.0%)

All types of crashes 326 (1.8%) 5,591 (30.6%) 6,632 (36.3%) 5,726 (31.3%) 18,275 (100.0%) Note: Percentages of all crashes involving those traffic unit types are shown in brackets. 1 Crash categories listed are those involving at least one traffic unit of that type. IMPORTANT: The 'Type of crash' categories in this table are not mutually exclusive and must therefore not be added together. For example, a crash involving both a car and a motorcycle will be included in both 'Car crash' and 'Motorcycle crash' categories.


Table 15b: Casualties, type of crash, degree of casualty

Type of crash1

Degree of casualty

Killed Seriously injured Moderately injured Minor/Other injured Total

killed & injured

Car crash 241 (1.2%) 4,957 (24.6%) 7,602 (37.7%) 7,382 (36.6%) 20,182 (100.0%)

Light truck crash 85 (1.8%) 1,153 (24.8%) 1,759 (37.8%) 1,653 (35.5%) 4,650 (100.0%)

Heavy truck crash 57 (4.3%) 421 (31.9%) 472 (35.7%) 371 (28.1%) 1,321 (100.0%)

Heavy rigid truck crash 25 (3.3%) 239 (31.4%) 257 (33.7%) 241 (31.6%) 762 (100.0%)

Articulated truck crash 34 (5.7%) 193 (32.5%) 230 (38.7%) 137 (23.1%) 594 (100.0%)

Bus crash 5 (1.5%) 84 (25.7%) 108 (33.0%) 130 (39.8%) 327 (100.0%)

Emergency vehicle crash 3 (2.1%) 31 (22.0%) 60 (42.6%) 47 (33.3%) 141 (100.0%)

Motorcycle crash 71 (2.9%) 1,155 (46.9%) 841 (34.2%) 394 (16.0%) 2,461 (100.0%)

Pedal cycle crash 7 (0.8%) 337 (39.3%) 331 (38.6%) 183 (21.3%) 858 (100.0%)

Pedestrian crash 62 (3.8%) 685 (41.7%) 564 (34.3%) 331 (20.2%) 1,642 (100.0%)

All types of crashes 350 (1.5%) 6,340 (27.0%) 8,744 (37.2%) 8,062 (34.3%) 23,496 (100.0%) Note: Percentages of all crashes involving those traffic unit types are shown in brackets. 1 Crash categories listed are those involving at least one traffic unit of that type. IMPORTANT: The 'Type of crash' categories in this table are not mutually exclusive and must therefore not be added together. For example, a crash involving both a car and a motorcycle will be included in both 'Car crash' and 'Motorcycle crash' categories.


Table 16: Motor vehicles involved and involvement rate1, vehicle type, degree of crash

Degree of crash

Vehicle type Fatal crash





Passenger vehicle2 272 0.6 6,167 14.6 8,981 21.3 9,039 21.4 24,459 58.0

Rigid truck, van or utility 106 1.5 1,412 19.4 1,759 24.2 1,638 22.5 4,915 67.6

Articulated truck3 33 17.0 174 89.6 161 82.9 103 53.1 471 242.6

Bus 5 3.8 74 55.7 72 54.2 73 55.0 224 168.6

Motorcycle 70 3.2 1,146 52.9 724 33.4 321 14.8 2,261 104.3

All motor vehicles on register4 496 1.0 9,087 17.5 11,885 22.9 11,363 21.9 32,831 63.2

Note: Involvement rates are calculated using registration data in which the vehicle categories differ slightly from those used in the crash database. As a result of a reclassification of types in the registration database, the involvement rates for the passenger vehicle and rigid truck, van or utility categories are not comparable with years prior to 2013.

1 Rates (shown in italics) are expressed as the number of vehicles involved in crashes per 10,000 registered vehicles of that type using registration data as at 30 June 2015. 2 Comprised of sedan, station wagon, hatchback, taxi-cab, passenger van and four wheel drive passenger vehicle. 3 Comprised of articulated tanker, semi-trailer, low loader, road train and B-double. 4 Includes other and unknown motor vehicle types.


Table 17: Crashes, factors, degree of crash Degree of crash

Factors possibly contributing to crash

Fatal crash





Controller Disadvantaged1

Chronic illness/physical infirmity 1 2 2 1 6

Sudden illness 10 189 193 17 409

Swerving to avoid animal 2 94 85 27 208

Distraction inside vehicle 2 166 176 80 424

Distraction outside vehicle 22 547 554 172 1,295

Equipment failure/fault

Brakes 2 32 15 6 55

Steering 0 3 2 1 6

Tyres 6 39 34 11 90

Wheel, axle/suspension 1 0 3 0 4

Lights 0 2 2 1 5

Towing/coupling 0 4 2 1 7

Insecure load 0 8 5 3 16

IMPORTANT: The factor categories in this table are not mutually exclusive and must therefore not be added together. For example, a crash in which one driver suffered sudden illness and another vehicle's brakes failed would be counted once in each of the relevant categories. 1 Data under-reported due to difficulty in collection.


Table 18: Crashes, degree of crash, alcohol involvement, time period

Degree of crash Alcohol involved

Time Period1

Unknown Total A B C D E F G H I J

Fatal Yes 2 2 3 0 0 2 1 8 9 16 0 43 No 28 13 61 15 18 42 22 22 14 18 0 253 Unknown 3 2 9 2 3 4 2 2 3 0 0 30 Sub-total 33 17 73 17 21 48 25 32 26 34 0 326 Serious injury Yes 22 25 17 9 6 47 45 57 52 106 0 386 No 528 131 1,001 240 231 548 445 338 188 196 1 3,847 Unknown 218 54 346 70 61 232 144 105 64 64 0 1,358 Sub-total 768 210 1,364 319 298 827 634 500 304 366 1 5,591 Moderate injury Yes 14 32 15 8 9 35 21 41 49 69 0 293 No 436 104 882 184 159 541 372 314 174 183 0 3,349 Unknown 419 80 751 171 139 574 404 224 105 122 1 2,990 Sub-total 869 216 1,648 363 307 1,150 797 579 328 374 1 6,632 Minor/Other Yes 1 7 3 1 1 17 15 8 11 25 0 89 injury No 78 29 136 43 35 89 87 67 39 31 0 634 Unknown 782 71 1,275 287 189 985 669 421 151 172 1 5,003 Sub-total 861 107 1,414 331 225 1,091 771 496 201 228 1 5,726 Total casualty Yes 39 66 38 18 16 101 82 114 121 216 0 811 crashes No 1,070 277 2,080 482 443 1,220 926 741 415 428 1 8,083 Unknown 1,422 207 2,381 530 392 1,795 1,219 752 323 358 2 9,381 TOTAL 2,531 550 4,499 1,030 851 3,116 2,227 1,607 859 1,002 3 18,275 Note: Assessment of alcohol involvement in a crash is based on the blood alcohol concentration (BAC) readings of the motor vehicle controllers involved in the crash as follows: Yes – at least one motor vehicle controller was over the legal limit. No – (1) BAC levels for all motor vehicle controllers are known and were under the legal limit; or – (2) no motor vehicle controllers were involved in the crash. Unknown – at least one motor vehicle controller had unknown BAC and all known BAC levels were under the legal limit. 1 Time periods A to J are as defined on page 42. In the case of a fatal crash reported with an unknown time, a time period is estimated.


Table 19: Crashes, degree of crash, alcohol involvement, urbanisation

Degree of crash

Alcohol involved

Urbanisation

Total

Metropolitan1 Country2

Sydney Newcastle Wollongong Urban Non-

urban Unknown

Fatal Yes 7 4 1 17 14 0 43

No 82 11 4 65 91 0 253

Unknown 7 1 0 3 19 0 30

Sub-total 96 16 5 85 124 0 326

Serious Yes 125 21 10 141 89 0 386

injury No 2,052 152 145 813 685 0 3,847

Unknown 894 50 61 218 135 0 1,358

Sub-total 3,071 223 216 1,172 909 0 5,591

Moderate Yes 112 13 6 116 46 0 293

injury No 1,468 122 89 1,071 599 0 3,349

Unknown 1,754 168 113 680 273 2 2,990

Sub-total 3,334 303 208 1,867 918 2 6,632

Minor/Other Yes 35 3 6 33 11 1 89

injury No 300 30 19 141 142 2 634

Unknown 3,966 181 120 505 231 0 5,003

Sub-total 4,301 214 145 679 384 3 5,726

Total Yes 279 41 23 307 160 1 811

casualty No 3,902 315 257 2,090 1,517 2 8,083

crashes Unknown 6,621 400 294 1,406 658 2 9,381

TOTAL 10,802 756 574 3,803 2,335 5 18,275

1 The Sydney, Newcastle and Wollongong Metropolitan Areas are defined in the Definitions on pages 12 and 13. 2 Country areas comprise all other areas of NSW and are sub-divided by speed limits as follows: Urban: Speed limit up to and including 80 km/h. Non-urban: Speed limit over 80 km/h. Unknown: Speed limit is unknown.


Table 20a: Crashes, alcohol involvement, degree of crash

Alcohol involved in crash

Degree of crash1

FC SC MC OC


Yes 43 386 293 89 811

No 253 3,847 3,349 634 8,083

Unknown 30 1,358 2,990 5,003 9,381

Crashes: Total 326 5,591 6,632 5,726 18,275

Table 20b: Crashes, speeding involvement, degree of crash

Speeding involved in crash

Degree of crash1

FC SC MC OC


Yes 133 1,267 1,071 359 2,830

No or unknown 193 4,324 5,561 5,367 15,445

Crashes: Total 326 5,591 6,632 5,726 18,275

Table 20c: Crashes, fatigue involvement, degree of crash

Fatigue involved in crash

Degree of crash1

FC SC MC OC


Yes 51 620 497 152 1,320

No or unknown 275 4,971 6,135 5,574 16,955

Crashes: Total 326 5,591 6,632 5,726 18,275

1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash The identification of speeding and fatigue involvement cannot always be determined from police reports of road crashes. The Centre for Road Safety has therefore established criteria for determining if a crash is likely to have involved these factors. The criteria used for this purpose are shown on page 11.


Table 21a: Motor vehicle controllers involved, degree of crash, road user class, sex, age DEGREE OF CRASH: FATAL

Road user class Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown

Car driver M 0 1 19 11 10 32 24 23 26 21 12 1 180

F 0 0 16 10 11 13 12 9 10 4 9 0 94

Sub-total1 0 1 35 21 21 45 36 32 36 25 21 1 274

Light truck driver M 0 1 7 10 5 10 13 9 5 5 1 0 66

F 0 0 0 0 0 2 1 2 1 0 0 0 6

Sub-total1 0 1 7 10 5 12 14 11 6 5 1 0 72

Heavy rigid truck M 0 0 0 0 2 4 7 6 3 0 0 0 22

driver F 0 0 0 0 0 0 0 0 0 0 0 0 0

Sub-total1 0 0 0 0 2 4 7 6 3 0 0 0 22

Articulated truck M 0 0 0 0 2 3 13 8 4 1 0 0 31

driver F 0 0 0 0 0 0 0 0 0 0 0 0 0

Sub-total1 0 0 0 0 2 3 13 8 4 1 0 0 31

Bus driver M 0 0 0 1 0 0 2 1 1 0 0 0 5

F 0 0 0 0 0 0 0 0 0 0 0 0 0

Sub-total1 0 0 0 1 0 0 2 1 1 0 0 0 5

Motorcycle rider M 0 2 2 6 8 6 15 20 4 3 1 0 67

F 0 0 0 0 0 0 1 1 1 0 0 0 3

Sub-total1 0 2 2 6 8 6 16 21 5 3 1 0 70 Other motor vehicle driver M 0 1 0 0 0 0 0 0 1 1 1 0 4

F 0 0 0 0 0 0 0 0 0 0 2 0 2

Sub-total1 0 1 0 0 0 0 0 0 1 1 3 3 9

MOTOR VEHICLE M 0 5 28 28 27 55 74 67 44 31 15 1 375

CONTROLLERS: F 0 0 16 10 11 15 14 12 12 4 11 0 105

TOTAL1 0 5 44 38 38 70 88 79 56 35 26 4 483

1 Unknown sex included.


Table 21b: Motor vehicle controllers involved, degree of crash, road user class, sex, age DEGREE OF CRASH: SERIOUS INJURY

Road user class Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown

Car driver M 0 11 338 377 278 652 497 451 354 242 151 37 3,388

F 0 2 243 285 199 468 423 350 240 160 109 22 2,501

Sub-total1 0 13 581 662 478 1,120 920 801 594 402 260 97 5,928

Light truck driver M 0 0 83 114 84 170 167 133 87 26 11 7 882

F 0 1 10 7 5 18 26 12 11 4 0 0 94

Sub-total1 0 1 93 121 89 188 193 145 98 30 11 13 982


driver F 0 0 0 0 0 0 2 0 0 0 0 0 2

Sub-total1 0 0 0 15 28 44 49 45 16 2 0 1 200


driver F 0 0 0 0 0 0 1 0 0 0 0 0 1

Sub-total1 0 0 0 5 10 33 44 49 17 3 0 8 169

Bus driver M 0 0 0 1 1 7 19 22 18 1 0 1 70

F 0 0 0 1 0 0 0 2 0 0 0 0 3

Sub-total1 0 0 0 2 1 7 19 24 18 1 0 2 74

Motorcycle rider M 0 19 100 159 102 191 195 182 80 14 4 4 1,050

F 0 1 9 20 8 23 23 11 1 0 0 0 96

Sub-total1 0 20 109 179 110 214 218 193 81 14 4 5 1,147

Other motor vehicle M 0 0 1 0 0 0 4 7 3 1 3 12 31

driver F 0 0 0 0 0 2 1 1 0 2 4 4 14

Sub-total1 0 0 1 0 0 2 5 8 3 3 7 78 107

MOTOR VEHICLE M 0 30 522 671 503 1,097 972 889 575 289 169 65 5,782

CONTROLLERS: F 0 4 262 313 212 511 476 376 252 166 113 26 2,711

TOTAL1 0 34 784 984 716 1,608 1,448 1,265 827 455 282 204 8,607



Table 21c: Motor vehicle controllers involved, degree of crash, road user class, sex, age DEGREE OF CRASH: MODERATE INJURY

Road user class Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown

Car driver M 0 12 487 617 427 892 754 563 380 219 140 115 4,606

F 0 12 494 552 361 786 712 572 337 139 79 62 4,106

Sub-total1 0 24 981 1,169 788 1,678 1,466 1,136 717 358 219 244 8,780

Light truck driver M 0 0 116 166 111 223 225 131 112 28 7 14 1,133

F 0 1 19 12 9 37 31 20 8 3 0 2 142

Sub-total1 0 1 135 178 120 260 256 151 120 31 7 26 1,285


driver F 0 0 0 0 0 1 0 0 0 0 0 0 1

Sub-total1 0 0 4 11 18 41 39 34 15 2 0 12 176


driver F 0 0 0 0 0 0 0 1 0 0 0 1 2

Sub-total1 0 0 0 4 10 30 48 37 17 1 0 12 159

Bus driver M 0 0 1 3 4 8 14 19 12 3 0 2 66

F 0 0 0 0 0 0 0 5 0 0 0 0 5

Sub-total1 0 0 1 3 4 8 14 24 12 3 0 3 72


F 0 2 9 17 10 19 5 9 3 0 0 0 74

Sub-total1 0 12 85 115 81 159 98 110 48 11 1 4 724


driver F 0 0 1 1 0 1 3 2 1 1 2 6 18

Sub-total1 0 1 2 3 2 4 7 6 5 1 2 142 175

MOTOR VEHICLE M 0 23 685 901 643 1,336 1,177 888 585 264 148 172 6,822

CONTROLLERS: F 0 15 523 582 380 844 751 609 349 143 81 71 4,348

TOTAL1 0 38 1,208 1,483 1,023 2,180 1,928 1,498 934 407 229 443 11,371



Table 21d: Motor vehicle controllers involved, degree of crash, road user class, sex, age DEGREE OF CRASH: MINOR/OTHER INJURY

Road user class Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown

Car driver M 0 3 359 540 465 977 810 689 363 177 68 489 4,940

F 0 8 301 475 345 861 801 522 268 106 27 303 4,017

Sub-total1 0 11 660 1,016 810 1,840 1,612 1,215 631 283 95 904 9,077


F 0 0 5 13 16 35 27 13 3 1 0 16 129

Sub-total1 0 1 74 141 127 285 224 176 65 22 3 162 1,280


driver F 0 0 0 0 0 0 1 0 0 0 0 1 2

Sub-total1 0 0 4 13 12 27 42 31 11 4 0 25 169


driver F 0 0 0 0 0 0 0 0 0 0 0 0 0

Sub-total1 0 0 0 2 9 12 28 29 10 5 0 7 102

Bus driver M 0 0 0 0 2 6 11 21 12 4 0 3 59

F 0 0 0 1 0 3 2 0 0 0 0 0 6

Sub-total1 0 0 0 1 2 9 13 21 12 4 0 9 71


F 0 0 2 5 4 4 6 9 2 0 0 0 32

Sub-total1 0 9 18 35 28 65 52 56 28 3 1 24 319


driver F 0 0 1 1 0 2 1 2 0 0 1 9 17

Sub-total1 0 0 1 4 6 13 5 11 2 1 3 139 185

MOTOR VEHICLE M 0 13 448 716 628 1,344 1,136 989 486 215 74 688 6,737

CONTROLLERS: F 0 8 309 495 365 905 838 546 273 107 28 329 4,203

TOTAL1 0 21 757 1,212 994 2,251 1,976 1,539 759 322 102 1,270 11,203



Table 21e: Motor vehicle controllers involved, degree of crash, road user class, sex, age DEGREE OF CRASH: ALL CASUALTY CRASHES

Road user class Sex Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown

Car driver M 0 27 1,203 1,545 1,180 2,553 2,085 1,726 1,123 659 371 642 13,114

F 0 22 1,054 1,322 916 2,128 1,948 1,453 855 409 224 387 10,718

Sub-total1 0 49 2,257 2,868 2,097 4,683 4,034 3,184 1,978 1,068 595 1,246 24,059


F 0 2 34 32 30 92 85 47 23 8 0 18 371

Sub-total1 0 4 309 450 341 745 687 483 289 88 22 201 3,619


driver F 0 0 0 0 0 1 3 0 0 0 0 1 5

Sub-total1 0 0 8 39 60 116 137 116 45 8 0 38 567


driver F 0 0 0 0 0 0 1 1 0 0 0 1 3

Sub-total1 0 0 0 11 31 78 133 123 48 10 0 27 461

Bus driver M 0 0 1 5 7 21 46 63 43 8 0 6 200

F 0 0 0 2 0 3 2 7 0 0 0 0 14

Sub-total1 0 0 1 7 7 24 48 70 43 8 0 14 222

Motorcycle rider M 0 40 194 293 205 398 349 350 155 31 7 29 2,051

F 0 3 20 42 22 46 35 30 7 0 0 0 205

Sub-total1 0 43 214 335 227 444 384 380 162 31 7 33 2,260


driver F 0 0 2 2 0 5 5 5 1 3 9 19 51

Sub-total1 0 2 4 7 8 19 17 25 11 6 15 362 476

MOTOR VEHICLE M 0 71 1,683 2,316 1,801 3,832 3,359 2,833 1,690 799 406 926 19,716

CONTROLLERS: F 0 27 1,110 1,400 968 2,275 2,079 1,543 886 420 233 426 11,367

TOTAL1 0 98 2,793 3,717 2,771 6,109 5,440 4,381 2,576 1,219 639 1,921 31,664



Table 22: Motor vehicle controllers involved, road user class, licence status, degree of crash

Road user class

Degree of crash1 Licence status

FC SC MC OC


Car driver Learner 3 47 72 40 162 Provisional3 39 917 1,539 1,095 3,590 Standard 176 4,067 5,713 5,588 15,544 Unlicensed2 15 173 193 136 517 Unknown 41 724 1,263 2,218 4,246 Sub-total 274 5,928 8,780 9,077 24,059

Light truck driver Learner 0 6 4 3 13 Provisional3 7 113 182 104 406 Standard 48 718 930 842 2,538 Unlicensed2 3 31 35 28 97 Unknown 14 114 134 303 565 Sub-total 72 982 1,285 1,280 3,619

Heavy rigid truck driver Provisional3 0 8 8 3 19 Standard 20 170 144 125 459

Unlicensed2 1 4 2 4 11 Unknown 1 18 22 37 78 Sub-total 22 200 176 169 567

Articulated truck driver Standard 27 122 117 82 348 Unlicensed2 0 3 3 0 6 Unknown 4 44 39 20 107 Sub-total 31 169 159 102 461

Bus driver Learner 0 0 0 0 0 Provisional3 0 1 0 0 1 Standard 4 61 64 57 186 Unlicensed2 0 0 1 0 1 Unknown 1 12 7 14 34 Sub-total 5 74 72 71 222

Motorcycle rider Learner 4 142 111 38 295 Provisional3 5 135 104 27 271 Standard 44 634 376 143 1,197 Unlicensed2 8 79 37 20 144 Unknown 9 157 96 91 353 Sub-total 70 1,147 724 319 2,260

Other motor Learner 0 0 1 0 1 vehicle driver Provisional3 0 2 3 2 7

Standard 2 11 16 26 55 Unlicensed2 2 3 1 1 7 Unknown 5 91 154 156 406 Sub-total 9 107 175 185 476 MOTOR VEHICLE CONTROLLERS: TOTAL 483 8,607 11,371 11,203 31,664

1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash 2 Includes persons driving whilst disqualified or suspended. 3 Includes P1 and P2 licence types


Table 23a: Motor vehicle controllers involved, degree of crash, BAC1, sex, age DEGREE OF CRASH: FATAL Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Legal M 0 3 23 20 20 39 61 61 42 26 15 0 310 F 0 0 15 7 11 13 13 10 12 1 11 0 93 Sub-total2 0 3 38 27 31 52 74 71 54 27 26 0 403 .001 – .0193 M 0 0 0 2 1 0 0 0 0 0 0 0 3 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 2 1 0 0 0 0 0 0 0 3 .020 – .0494 M 0 0 1 0 0 0 1 0 0 0 0 0 2 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 1 0 0 0 1 0 0 0 0 0 2 .050 – .079 M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 1 0 0 0 0 0 1 Sub-total2 0 0 0 0 0 0 1 0 0 0 0 0 1 .080 – .149 M 0 1 2 4 2 4 2 0 0 1 0 0 16 F 0 0 1 1 0 0 0 1 0 0 0 0 3 Sub-total2 0 1 3 5 2 4 2 1 0 1 0 0 19 ≥ .150 M 0 0 2 2 2 4 4 2 1 0 0 0 17 F 0 0 0 1 0 0 0 0 0 0 0 0 1 Sub-total2 0 0 2 3 2 4 4 2 1 0 0 0 18 Unknown M 0 1 0 0 2 8 6 4 1 4 0 1 27 F 0 0 0 1 0 2 0 1 0 3 0 0 7 Sub-total2 0 1 0 1 2 10 6 5 1 7 0 4 37 MOTOR VEHICLE M 0 5 28 28 27 55 74 67 44 31 15 1 375 CONTROLLERS: F 0 0 16 10 11 15 14 12 12 4 11 0 105 TOTAL2 0 5 44 38 38 70 88 79 56 35 26 4 483

1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 23b: Motor vehicle controllers involved, degree of crash, BAC1, sex, age DEGREE OF CRASH: SERIOUS INJURY Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Legal M 0 20 386 497 360 800 733 716 463 229 140 7 4,351 F 0 2 202 232 156 370 355 295 192 136 90 6 2,036 Sub-total2 0 22 588 729 517 1,170 1,088 1,011 655 365 230 15 6,390 .001 – .0193 M 0 0 0 1 0 2 0 0 0 0 0 0 3 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 1 0 2 0 0 0 0 0 0 3 .020 – .0494 M 0 1 5 2 1 2 0 0 0 0 0 0 11 F 0 1 1 0 0 0 0 0 0 0 0 0 2 Sub-total2 0 2 6 2 1 2 0 0 0 0 0 0 13 .050 – .079 M 0 0 6 5 1 6 6 3 0 0 0 0 27 F 0 0 1 0 2 2 2 0 0 1 0 0 8 Sub-total2 0 0 7 5 3 8 8 3 0 1 0 0 35 .080 – .149 M 0 0 17 26 18 26 25 9 3 3 0 0 127 F 0 0 1 6 3 11 10 2 0 1 0 0 34 Sub-total2 0 0 18 32 21 37 35 11 3 4 0 0 161 ≥ .150 M 0 0 10 20 10 42 22 22 2 3 1 0 132 F 0 0 1 5 8 8 12 6 2 0 0 0 42 Sub-total2 0 0 11 25 18 50 34 28 4 3 1 0 174 Unknown M 0 9 98 120 113 219 186 139 107 54 28 58 1,131 F 0 1 56 70 43 120 97 73 58 28 23 20 589 Sub-total2 0 10 154 190 156 339 283 212 165 82 51 189 1,831 MOTOR VEHICLE M 0 30 522 671 503 1,097 972 889 575 289 169 65 5,782 CONTROLLERS: F 0 4 262 313 212 511 476 376 252 166 113 26 2,711 TOTAL2 0 34 784 984 716 1,608 1,448 1,265 827 455 282 204 8,607



Table 23c: Motor vehicle controllers involved, degree of crash, BAC1, sex, age DEGREE OF CRASH: MODERATE INJURY Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Legal M 0 15 397 519 334 762 649 509 355 151 95 10 3,796 F 0 6 320 294 217 448 409 345 207 89 54 8 2,397 Sub-total2 0 21 717 813 551 1,210 1,058 854 562 240 149 18 6,193 .001 – .0193 M 0 0 1 1 0 0 0 0 0 0 0 0 2 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 1 1 0 0 0 0 0 0 0 0 2 .020 – .0494 M 0 0 1 1 0 1 1 0 0 0 0 0 4 F 0 0 0 0 0 1 0 0 0 0 0 0 1 Sub-total2 0 0 1 1 0 2 1 0 0 0 0 0 5 .050 – .079 M 0 0 6 3 3 2 4 2 1 2 0 0 23 F 0 0 2 2 0 3 1 0 2 0 0 0 10 Sub-total2 0 0 8 5 3 5 5 2 3 2 0 0 33 .080 – .149 M 0 0 12 16 13 12 5 6 2 2 0 0 68 F 0 0 2 3 1 4 4 3 1 1 0 0 19 Sub-total2 0 0 14 19 14 16 9 9 3 3 0 0 87 ≥ .150 M 0 0 11 25 13 32 27 10 5 2 0 1 126 F 0 0 1 4 5 9 13 4 3 1 0 0 40 Sub-total2 0 0 12 29 18 41 40 14 8 3 0 1 166 Unknown M 0 8 257 336 280 527 491 361 222 107 53 161 2,803 F 0 9 198 279 157 379 324 257 136 52 27 63 1,881 Sub-total2 0 17 455 615 437 906 815 619 358 159 80 424 4,885 MOTOR VEHICLE M 0 23 685 901 643 1,336 1,177 888 585 264 148 172 6,822 CONTROLLERS: F 0 15 523 582 380 844 751 609 349 143 81 71 4,348 TOTAL2 0 38 1,208 1,483 1,023 2,180 1,928 1,498 934 407 229 443 11,371



Table 23d: Motor vehicle controllers involved, degree of crash, BAC1, sex, age DEGREE OF CRASH: MINOR/OTHER INJURY Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Legal M 0 3 85 103 71 126 139 114 67 39 14 18 779 F 0 1 39 54 47 91 66 48 33 12 5 10 406 Sub-total2 0 4 124 157 118 217 205 162 100 51 19 30 1,187 .001 – .0193 M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 0 0 0 0 0 0 0 0 0 0 .020 – .0494 M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 0 0 0 0 0 0 0 0 0 0 .050 – .079 M 0 0 0 0 2 3 1 1 1 0 0 0 8 F 0 0 0 1 0 0 1 0 0 0 0 0 2 Sub-total2 0 0 0 1 2 3 2 1 1 0 0 0 10 .080 – .149 M 0 0 1 10 3 12 1 5 2 0 0 1 35 F 0 0 2 4 1 1 0 3 0 1 0 0 12 Sub-total2 0 0 3 14 4 13 1 8 2 1 0 1 47 ≥ .150 M 0 0 2 1 2 8 5 4 1 0 0 1 24 F 0 0 0 1 0 4 1 2 0 0 0 0 8 Sub-total2 0 0 2 2 2 12 6 6 1 0 0 1 32 Unknown M 0 10 360 602 550 1,195 990 865 415 176 60 668 5,891 F 0 7 268 435 317 809 770 493 240 94 23 319 3,775 Sub-total2 0 17 628 1,038 868 2,006 1,762 1,362 655 270 83 1,238 9,927 MOTOR VEHICLE M 0 13 448 716 628 1,344 1,136 989 486 215 74 688 6,737 CONTROLLERS: F 0 8 309 495 365 905 838 546 273 107 28 329 4,203 TOTAL2 0 21 757 1,212 994 2,251 1,976 1,539 759 322 102 1,270 11,203



Table 23e: Motor vehicle controllers involved, degree of crash, BAC1, sex, age DEGREE OF CRASH: ALL CASUALTY CRASHES Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Legal M 0 41 891 1,139 785 1,727 1,582 1,400 927 445 264 35 9,236 F 0 9 576 587 431 922 843 698 444 238 160 24 4,932 Sub-total2 0 50 1,467 1,726 1,217 2,649 2,425 2,098 1,371 683 424 63 14,173 .001 – .0193 M 0 0 1 4 1 2 0 0 0 0 0 0 8 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 1 4 1 2 0 0 0 0 0 0 8 .020 – .0494 M 0 1 7 3 1 3 2 0 0 0 0 0 17 F 0 1 1 0 0 1 0 0 0 0 0 0 3 Sub-total2 0 2 8 3 1 4 2 0 0 0 0 0 20 .050 – .079 M 0 0 12 8 6 11 11 6 2 2 0 0 58 F 0 0 3 3 2 5 5 0 2 1 0 0 21 Sub-total2 0 0 15 11 8 16 16 6 4 3 0 0 79 .080 – .149 M 0 1 32 56 36 54 33 20 7 6 0 1 246 F 0 0 6 14 5 16 14 9 1 3 0 0 68 Sub-total2 0 1 38 70 41 70 47 29 8 9 0 1 314 ≥ .150 M 0 0 25 48 27 86 58 38 9 5 1 2 299 F 0 0 2 11 13 21 26 12 5 1 0 0 91 Sub-total2 0 0 27 59 40 107 84 50 14 6 1 2 390 Unknown M 0 28 715 1,058 945 1,949 1,673 1,369 745 341 141 888 9,852 F 0 17 522 785 517 1,310 1,191 824 434 177 73 402 6,252 Sub-total2 0 45 1,237 1,844 1,463 3,261 2,866 2,198 1,179 518 214 1,855 16,680 MOTOR VEHICLE M 0 71 1,683 2,316 1,801 3,832 3,359 2,833 1,690 799 406 926 19,716 CONTROLLERS: F 0 27 1,110 1,400 968 2,275 2,079 1,543 886 420 233 426 11,367 TOTAL2 0 98 2,793 3,717 2,771 6,109 5,440 4,381 2,576 1,219 639 1,921 31,664



Table 24: Speeding motor vehicle controllers involved, degree of crash, sex, age

Degree of crash Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Fatal M 0 2 10 12 11 10 24 22 10 5 1 1 108 F 0 0 7 4 2 3 2 5 2 0 2 0 27 Sub-total1 0 2 17 16 13 13 26 27 12 5 3 1 135 Serious injury M 0 10 154 147 83 179 127 145 59 26 26 5 961 F 0 1 46 39 30 59 46 42 20 24 15 1 323 Sub-total1 0 11 200 186 113 238 173 187 79 50 41 6 1,284 Moderate injury M 0 8 152 122 76 135 99 69 47 13 13 5 739 F 0 3 78 65 30 62 43 29 18 8 3 0 339 Sub-total1 0 11 230 187 106 197 142 98 65 21 16 15 1,088 Minor/Other injury M 0 1 41 38 25 50 36 35 11 3 4 17 261 F 0 0 19 17 9 21 13 9 4 1 0 6 99 Sub-total1 0 1 60 55 34 71 49 44 15 4 4 30 367 SPEEDING MOTOR VEHICLE M 0 21 357 319 195 374 286 271 127 47 44 28 2,069 CONTROLLERS: F 0 4 150 125 71 145 104 85 44 33 20 7 788 TOTAL1 0 25 507 444 266 519 390 356 171 80 64 52 2,874

1 Unknown sex included. The identification of speeding involvement cannot always be determined from police reports of road crashes. The Centre for Road Safety has therefore established criteria for determining if a crash is likely to have involved this factor. The criteria used for this purpose are shown on page 11.


Table 25: Fatigued motor vehicle controllers involved, degree of crash, sex, age

Degree of crash Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 Unknown Fatal M 0 0 3 4 3 6 8 8 6 4 3 0 45 F 0 0 1 1 0 2 0 0 2 0 0 0 6 Sub-total1 0 0 4 5 3 8 8 8 8 4 3 0 51 Serious injury M 0 1 54 66 28 89 72 59 35 25 21 4 454 F 0 0 18 27 14 26 22 14 21 14 9 0 165 Sub-total1 0 1 72 93 42 115 94 73 56 39 30 5 620 Moderate injury M 0 0 48 47 27 69 61 38 30 14 9 3 346 F 0 1 18 16 14 26 29 17 13 9 4 0 147 Sub-total1 0 1 66 63 41 95 90 55 43 23 13 7 497 Minor/Other injury M 0 0 13 15 14 18 19 12 4 2 1 9 107 F 0 0 3 8 5 7 4 7 1 3 0 0 38 Sub-total1 0 0 16 23 19 25 23 19 5 5 1 16 152 FATIGUED MOTOR VEHICLE M 0 1 118 132 72 182 160 117 75 45 34 16 952 CONTROLLERS: F 0 1 40 52 33 61 55 38 37 26 13 0 356 TOTAL1 0 2 158 184 105 243 215 155 112 71 47 28 1,320

1 Unknown sex included. The identification of fatigue involvement cannot always be determined from police reports of road crashes. The Centre for Road Safety has therefore established criteria for determining if a crash is likely to have involved this factor. The criteria used for this purpose are shown on page 11.


Table 26a: Crashes, location type, degree of crash Degree of crash

Total casualty crashes Location type

Fatal crash




INTERSECTION

Cross 19 778 1,146 1,208 3,151

‘T’ 42 1,282 1,715 1,603 4,642

‘Y’ 0 7 6 9 22

Multiple 1 10 7 15 33

Roundabout 4 186 336 368 894

Sub-total 66 2,263 3,210 3,203 8,742

NON-INTERSECTION

One-way 0 25 32 17 74

2-way undivided 220 2,405 2,395 1,424 6,444

Dual carriageway (non-freeway) 31 600 703 733 2,067

Dual carriageway (freeway) 9 240 238 286 773

Other limited access 0 9 9 11 29

Other 0 49 45 52 146

Unknown 0 0 0 0 0

Sub-total 260 3,328 3,422 2,523 9,533

CRASHES: TOTAL 326 5,591 6,632 5,726 18,275

Table 26b: Crashes, feature of location, degree of crash Degree of crash

Total casualty crashes Feature of location

Fatal crash




Bridge 5 78 100 49 232

Causeway 0 2 1 0 3

Railway crossing 1 2 4 1 8

Entrance/driveway 12 315 404 307 1,038

Hazardous road surface 19 237 200 60 516

Roadworks/detour/diversion 4 67 65 25 161

Previous crash 0 18 20 12 50 IMPORTANT: The feature categories in this table are not mutually exclusive and must therefore not be added together. For example, a crash at roadworks on a bridge would be counted once in each of the relevant categories.


Table 27: Crashes, area, speed limit, degree of crash Degree of crash

Total casualty crashes Area1/speed limit

Fatal crash




METROPOLITAN

30 km/h or less 1 7 10 7 25

40 km/h 0 128 156 187 471

50 km/h 32 1,292 1,341 1,494 4,159

60 km/h 46 1,214 1,387 1,869 4,516

70 km/h 12 385 506 606 1,509

80 km/h 15 273 260 283 831

90 km/h 4 57 55 96 212

100 km/h 4 101 78 82 265

110 km/h 3 52 51 35 141

Unknown 0 1 1 1 3

Sub-total 117 3,510 3,845 4,660 12,132

COUNTRY

30 km/h or less 0 2 3 0 5

40 km/h 2 27 39 15 83

50 km/h 19 471 892 316 1,698

60 km/h 21 281 478 193 973

70 km/h 8 57 131 51 247

80 km/h 35 334 324 104 797

90 km/h 4 55 50 14 123

100 km/h 101 695 711 289 1,796

110 km/h 19 159 157 81 416

Unknown 0 0 2 3 5

Sub-total 209 2,081 2,787 1,066 6,143

CRASHES: TOTAL 326 5,591 6,632 5,726 18,275

1 'Metropolitan' is comprised of the Sydney, Newcastle and Wollongong Metropolitan Areas. 'Country' is comprised of all other areas of the State.


Table 28: Crashes, alignment, surface condition, degree of crash Degree of crash


Alignment/surface condition

Fatal crash




STRAIGHT

Wet 20 586 781 676 2,063

Dry 145 3,548 4,466 4,280 12,439

Snow or ice 1 4 4 5 14

Unknown 0 4 7 4 15

Sub-total 166 4,142 5,258 4,965 14,531

CURVE

Wet 32 351 389 139 911

Dry 128 1,089 968 613 2,798

Snow or ice 0 5 15 8 28

Unknown 0 4 2 1 7

Sub-total 160 1,449 1,374 761 3,744

TOTAL CRASHES1

Wet 52 937 1,170 815 2,974

Dry 273 4,637 5,434 4,893 15,237

Snow or ice 1 9 19 13 42

Unknown 0 8 9 5 22

CRASHES: TOTAL 326 5,591 6,632 5,726 18,275

1 Includes cases of unknown alignment.


Table 29: Crashes, casualties, region, local government area, degree of crash, degree of casualty Degree of crash1 Degree of casualty2

Local Government Area FC SC MC OC


K S M O

Total killed

& injured

SYDNEY REGION

Sydney Metropolitan Area

Ashfield 0 19 27 46 92 0 20 31 69 120

Auburn 1 84 106 191 382 1 92 123 263 479

Bankstown 5 190 228 342 765 5 205 310 475 995

Blacktown 1 296 138 271 706 1 342 183 375 901

Botany Bay 1 48 42 50 141 1 51 53 71 176

Burwood 1 19 34 46 100 1 21 47 59 128

Camden 2 26 38 39 105 3 28 48 55 134

Campbelltown 1 69 118 99 287 1 76 149 142 368

Canada Bay 2 51 77 103 233 3 53 103 130 289

Canterbury 1 99 141 184 425 1 107 181 258 547

Fairfield 8 159 181 273 621 8 172 252 369 801

Holroyd 4 117 125 197 443 4 135 169 269 577

Hornsby 6 90 112 102 310 6 97 152 140 395

Hunters Hill 0 9 12 13 34 0 9 13 21 43

Hurstville 0 40 48 62 150 0 44 62 80 186

Kogarah 1 20 41 52 114 1 21 50 59 131

Ku-ring-gai 2 69 60 77 208 2 76 71 101 250

Lane Cove 0 13 20 33 66 0 15 26 43 84

Leichhardt 1 38 29 55 123 1 41 39 59 140

1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.


Table 29: Crashes, casualties, region, local government area, degree of crash, degree of casualty (continued) Degree of crash1 Degree of casualty2



K S M O

Total killed

& injured

SYDNEY REGION (cont.)

Liverpool 6 197 203 229 635 6 231 293 351 881

Manly 0 23 10 19 52 0 23 14 22 59

Marrickville 1 73 87 101 262 1 76 100 126 303

Mosman 0 14 13 15 42 0 14 17 19 50

North Sydney 3 52 42 59 156 3 53 53 67 176

Parramatta 7 147 160 279 593 7 165 196 382 750

Penrith 7 115 167 113 402 8 143 230 155 536

Pittwater 1 29 35 14 79 1 31 47 27 106

Randwick 3 97 92 97 289 3 107 104 122 336

Rockdale 0 64 121 130 315 0 67 146 161 374

Ryde 1 82 88 127 298 1 90 108 167 366

Strathfield 1 33 35 74 143 1 38 43 104 186

Sutherland 9 110 143 116 378 9 121 188 148 466

Sydney 6 231 269 322 828 6 240 298 387 931

The Hills 8 144 94 147 393 8 166 133 194 501

Warringah 1 85 100 76 262 1 91 124 101 317

Waverley 2 39 31 45 117 2 39 36 56 133

Willoughby 1 46 37 69 153 1 51 51 85 188

Woollahra 2 34 30 34 100 2 36 39 37 114

Sydney Metropolitan

Area Sub-total 96 3,071 3,334 4,301 10,802 99 3,387 4,282 5,749 13,517






K S M O

Total killed

& injured

SYDNEY REGION (cont.)

Outer Sydney Area Blue Mountains 0 48 73 25 146 0 54 92 47 193 Gosford 8 150 179 84 421 8 169 231 125 533 Hawkesbury 9 51 81 45 186 11 63 107 78 259 Wollondilly 8 40 37 14 99 8 57 55 28 148 Wyong 4 90 155 68 317 5 102 209 103 419

Outer Sydney

Area Sub-total 29 379 525 236 1,169 32 445 694 381 1,552

TOTAL 125 3,450 3,859 4,537 11,971 131 3,832 4,976 6,130 15,069 1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.





K S M O

Total killed

& injured

HUNTER REGION

Cessnock 3 49 87 24 163 3 54 124 47 228

Dungog 0 9 16 2 27 0 9 17 4 30

Gloucester 0 10 7 1 18 0 11 7 3 21

Great Lakes 2 27 31 12 72 3 30 45 15 93

Lake Macquarie 11 119 127 93 350 12 127 177 145 461

Maitland 3 34 67 22 126 3 39 94 33 169

Muswellbrook 2 4 20 3 29 2 5 24 5 36

Newcastle 5 104 176 121 406 5 113 220 160 498

Port Stephens 3 47 52 26 128 3 62 76 36 177

Singleton 8 28 39 12 87 11 34 61 17 123

Upper Hunter 0 12 15 5 32 0 15 20 10 45

TOTAL 37 443 637 321 1,438 42 499 865 475 1,881

ILLAWARRA REGION

Kiama 1 23 8 6 38 1 27 14 9 51

Shellharbour 0 42 56 24 122 0 43 71 34 148

Shoalhaven 11 74 129 35 249 11 91 174 72 348

Wingecarribee 3 43 73 16 135 3 48 92 38 181

Wollongong 5 174 152 121 452 5 189 203 163 560

TOTAL 20 356 418 202 996 20 398 554 316 1,288






K S M O

Total killed

& injured

NORTH COAST REGION

Ballina 1 35 36 11 83 1 40 48 25 114

Bellingen 4 14 12 6 36 4 16 21 9 50

Byron 2 32 46 18 98 2 37 58 25 122

Clarence Valley 3 57 63 19 142 3 75 80 39 197

Coffs Harbour 0 57 58 33 148 0 63 78 52 193

Greater Taree 3 30 51 14 98 4 34 75 24 137

Kempsey 4 20 32 9 65 4 23 42 15 84

Kyogle 2 25 12 9 48 2 26 14 19 61

Lismore 2 52 34 14 102 2 62 49 26 139

Lord Howe Island 0 0 0 2 2 0 0 0 2 2

Nambucca 6 15 21 8 50 9 27 32 16 84

Port Macquarie-Hastings 4 63 58 27 152 4 65 94 38 201

Richmond Valley 6 35 31 10 82 6 49 40 19 114

Tweed 8 70 85 26 189 9 87 114 54 264

TOTAL 45 505 539 206 1,295 50 604 745 363 1,762 1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.





K S M O

Total killed

& injured

NEW ENGLAND REGION

Armidale Dumaresq 3 14 28 5 50 3 22 39 8 72

Glen Innes - Severn 0 8 14 4 26 0 9 19 5 33

Gunnedah 1 5 12 5 23 1 7 15 10 33

Guyra 1 5 7 1 14 1 7 11 2 21

Gwydir 1 6 4 3 14 1 7 5 4 17

Inverell 0 16 35 4 55 0 23 45 12 80

Liverpool Plains 4 3 8 3 18 5 8 15 5 33

Moree Plains 1 14 18 8 41 1 16 26 16 59

Narrabri 1 12 11 2 26 2 16 14 3 35

Tamworth Regional 2 29 75 9 115 2 36 100 27 165

Tenterfield 2 9 11 3 25 2 10 13 7 32

Uralla 1 5 12 1 19 2 7 18 8 35

Walcha 2 8 9 0 19 2 10 17 2 31

TOTAL 19 134 244 48 445 22 178 337 109 646 1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.





K S M O

Total killed

& injured

ORANA REGION

Bogan 0 3 2 2 7 0 3 2 2 7

Bourke 1 4 0 3 8 1 4 0 5 10

Brewarrina 0 1 1 2 4 0 1 1 3 5

Cobar 0 6 4 2 12 0 7 6 4 17

Coonamble 0 3 2 1 6 0 3 2 4 9

Dubbo 4 26 52 12 94 5 29 76 20 130

Gilgandra 2 2 8 1 13 2 2 10 5 19

Mid-Western Regional 3 25 35 10 73 3 30 43 14 90

Narromine 3 7 8 1 19 3 8 9 2 22

Walgett 3 9 5 5 22 3 10 6 10 29

Warren 0 3 8 3 14 0 4 9 4 17

Warrumbungle 0 19 10 8 37 0 22 13 15 50

Wellington 2 13 15 5 35 2 15 18 10 45






K S M O

Total killed

& injured

CENTRAL WESTERN REGION

Bathurst Regional 5 28 56 15 104 6 37 87 28 158

Bland 3 6 3 1 13 4 11 11 4 30

Blayney 0 5 15 1 21 0 6 16 3 25

Cabonne 1 20 25 10 56 1 27 29 21 78

Cowra 1 9 17 5 32 1 9 21 8 39

Forbes 1 10 15 2 28 1 13 18 5 37

Lachlan 1 9 2 4 16 1 12 2 6 21

Lithgow 2 31 35 4 72 2 39 51 12 104

Oberon 1 14 5 4 24 1 15 6 7 29

Orange 2 17 42 14 75 2 19 53 18 92

Parkes 1 8 18 7 34 1 9 26 8 44

Weddin 0 3 4 2 9 0 3 4 4 11

TOTAL 18 160 237 69 484 20 200 324 124 668






K S M O

Total killed

& injured

SOUTH-EASTERN REGION

Bega Valley 5 27 36 9 77 5 31 51 22 109

Bombala 0 8 4 2 14 0 8 7 2 17

Boorowa 2 7 7 2 18 2 8 9 2 21

Cooma-Monaro 0 6 19 6 31 0 6 24 11 41

Eurobodalla 3 51 51 11 116 3 64 75 23 165

Goulburn Mulwaree 2 28 54 22 106 2 28 80 32 142

Harden 2 3 12 7 24 2 4 13 13 32

Palerang 3 10 30 29 72 3 11 35 50 99

Queanbeyan 0 6 33 17 56 0 8 38 20 66

Snowy River 3 9 11 8 31 4 11 14 19 48

Upper Lachlan 0 8 18 10 36 0 10 19 14 43

Yass Valley 2 9 24 26 61 2 11 37 35 85

Young 2 13 13 2 30 2 15 17 2 36






K S M O

Total killed

& injured

RIVERINA REGION

Carrathool 1 8 3 4 16 1 11 3 6 21

Coolamon 0 3 4 1 8 0 5 4 2 11

Cootamundra 1 7 7 0 15 1 9 10 1 21

Griffith 1 26 24 4 55 1 28 36 8 73

Gundagai 3 16 4 3 26 4 24 7 9 44

Hay 0 3 3 2 8 0 3 5 3 11

Junee 1 8 1 2 12 1 9 4 2 16

Leeton 0 4 9 4 17 0 4 9 4 17

Lockhart 0 4 1 0 5 0 4 3 0 7

Murrumbidgee 0 4 3 0 7 0 4 5 2 11

Narrandera 1 5 9 2 17 1 5 9 3 18

Temora 0 7 6 3 16 0 7 12 4 23

Tumut 2 14 13 10 39 2 20 21 12 55

Wagga Wagga 3 35 50 22 110 3 43 69 31 146






K S M O

Total killed

& injured

MURRAY REGION

Albury 0 27 38 17 82 0 28 53 26 107

Balranald 0 2 0 7 9 0 2 0 9 11

Berrigan 0 1 4 5 10 0 1 4 7 12

Conargo 0 1 0 0 1 0 1 0 0 1

Corowa 0 7 5 4 16 0 7 6 6 19

Deniliquin 0 2 3 0 5 0 2 4 1 7

Greater Hume 0 21 13 3 37 0 24 20 8 52

Jerilderie 0 3 3 0 6 0 3 5 1 9

Murray 0 2 2 9 13 0 2 4 12 18

Tumbarumba 2 6 4 7 19 2 9 4 9 24

Urana 1 2 1 1 5 1 2 1 1 5

Wakool 0 0 1 4 5 0 0 1 4 5

Wentworth 2 0 1 17 20 2 0 1 23 26






K S M O

Total killed

& injured

FAR WESTERN REGION

Broken Hill 0 6 16 2 24 0 6 19 3 28

Central Darling 0 4 3 3 10 0 4 3 4 11

Unincorporated Area 2 9 5 1 17 2 9 7 1 19

TOTAL 2 19 24 6 51 2 19 29 8 58

METROPOLITAN3:

TOTAL 117 3,510 3,845 4,660 12,132 121 3,859 4,953 6,251 15,184

COUNTRY3: TOTAL 209 2,081 2,787 1,066 6,143 229 2,481 3,791 1,811 8,312

NSW STATE

TOTAL 326 5,591 6,632 5,726 18,275 350 6,340 8,744 8,062 23,496

1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured. 3 'Metropolitan' is comprised of the Sydney, Newcastle and Wollongong Metropolitan Areas. 'Country' is comprised of all other areas of the State


Table 30: Crashes, casualties, route, local government area, degree of crash, degree of casualty Degree of crash1 Degree of casualty2

Route/Local Government Area FC SC MC OC


K S M O

Total killed

& injured

FREEWAYS AND MOTORWAYS

M2 MOTORWAY includes LANE COVE TUNNEL (ARTARMON to BAULKHAM HILLS) Willoughby 0 0 1 1 2 0 0 1 1 2

Lane Cove 0 0 1 1 2 0 0 1 1 2

Ryde 0 5 2 2 9 0 5 2 3 10

Hornsby 0 6 2 7 15 0 6 6 8 20

The Hills 2 17 12 8 39 2 18 20 16 56

Sub-total 2 28 18 19 67 2 29 30 29 90

SYDNEY-NEWCASTLE FREEWAY (WAHROONGA to BERESFIELD) Ku-ring-gai 0 3 2 2 7 0 4 2 2 8

Hornsby 0 11 8 5 24 0 12 10 9 31

Gosford 0 19 21 9 49 0 21 26 16 63

Wyong 0 8 3 9 20 0 8 4 10 22

Lake Macquarie 3 7 7 10 27 3 7 13 13 36

Cessnock 0 0 0 0 0 0 0 0 0 0

Newcastle 0 1 3 1 5 0 1 3 2 6

Sub-total 3 49 44 36 132 3 53 58 52 166



Table 30: Crashes, casualties, route, local government area, degree of crash, degree of casualty (continued) Degree of crash1 Degree of casualty2



K S M O

Total killed

& injured M4 MOTORWAY (CONCORD to LAPSTONE) Canada Bay 0 5 3 4 12 0 5 3 8 16

Strathfield 0 3 3 4 10 0 4 3 6 13

Auburn 0 6 17 37 60 0 7 19 47 73

Parramatta 1 3 10 16 30 1 3 10 21 35

Holroyd 2 27 13 36 78 2 28 21 50 101

Blacktown 0 19 14 17 50 0 23 16 25 64

Penrith 0 6 15 4 25 0 6 20 5 31

Blue Mountains 0 0 0 0 0 0 0 0 0 0

Sub-total 3 69 75 118 265 3 76 92 162 333

M5 MOTORWAY (SYDNEY AIRPORT to PRESTONS) Rockdale 0 2 2 2 6 0 2 2 3 7

Canterbury 0 11 11 30 52 0 13 20 40 73

Hurstville 0 0 0 0 0 0 0 0 0 0

Bankstown 0 4 3 8 15 0 4 4 11 19

Liverpool 0 8 14 11 33 0 9 17 18 44

Campbelltown 0 0 0 0 0 0 0 0 0 0

Sub-total 0 25 30 51 106 0 28 43 72 143 1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.





K S M O

Total killed

& injured SOUTHERN FREEWAY (WATERFALL to BULLI HEIGHTS & NTH WOLLONGONG to YALLAH) Sutherland 0 0 0 0 0 0 0 0 0 0

Wollongong 0 13 13 7 33 0 15 16 7 38

Sub-total 0 13 13 7 33 0 15 16 7 38

M7 WESTLINK (BAULKHAM HILLS to PRESTONS) The Hills 0 2 1 2 5 0 5 5 4 14

Blacktown 0 16 8 13 37 0 16 8 19 43

Fairfield 0 2 4 3 9 0 2 4 3 9

Liverpool 0 6 2 3 11 0 8 3 5 16

Sub-total 0 26 15 21 62 0 31 20 31 82






K S M O

Total killed

& injured EASTERN DISTRIBUTOR (WOOLLOOMOOLOO to KENSINGTON) Sydney 0 2 3 8 13 0 2 3 8 13

Randwick 0 0 1 0 1 0 0 1 0 1

Sub-total 0 2 4 8 14 0 2 4 8 14

CROSS CITY TUNNEL Sydney 0 0 0 0 0 0 0 0 0 0

Sub-total 0 0 0 0 0 0 0 0 0 0

HUNTER EXPRESSWAY (SEAHAMPTON to LOWER BELFORD) Lake Macquarie 0 0 0 0 0 0 0 0 0 0

Cessnock 0 1 3 2 6 0 1 4 2 7

Maitland 0 1 0 0 1 0 1 0 0 1

Singleton 0 1 1 0 2 0 1 1 0 2

Sub-total 0 3 4 2 9 0 3 5 2 10

FREEWAYS/MOTORWAYS:






K S M O

Total killed

& injured

STATE HIGHWAYS

PRINCES (State Highway (SH) 1) (SYDNEY to Victorian border near EDEN) Sydney 0 9 4 7 20 0 9 5 7 21

Marrickville 0 7 18 12 37 0 7 24 17 48

Rockdale 0 9 21 20 50 0 11 27 23 61

Kogarah 1 8 9 20 38 1 9 12 22 44

Sutherland 1 19 26 25 71 1 21 38 32 92

Wollongong 0 30 31 34 95 0 34 43 43 120

Shellharbour 0 10 14 3 27 0 11 18 6 35

Kiama 0 3 4 2 9 0 3 5 2 10

Shoalhaven 6 28 45 14 93 6 41 76 31 154

Eurobodalla 2 24 16 3 45 2 33 30 6 71

Bega Valley 0 9 6 0 15 0 10 11 0 21






K S M O

Total killed

& injured

HUME (SH 2) (ASHFIELD to ALBURY)

Ashfield 0 0 5 5 10 0 0 5 9 14

Burwood 1 0 5 2 8 1 0 6 4 11

Strathfield 0 6 5 11 22 0 8 7 18 33

Bankstown 0 22 30 50 102 0 24 46 60 130

Fairfield 0 2 7 15 24 0 2 8 17 27

Liverpool 1 32 39 51 123 1 40 64 83 188

Campbelltown 0 16 9 10 35 0 16 15 15 46

Wollondilly 1 6 5 2 14 1 10 10 4 25

Wingecarribee 0 12 16 4 32 0 14 25 13 52

Goulburn Mulwaree 0 5 15 6 26 0 5 22 10 37

Upper Lachlan 0 0 3 4 7 0 0 3 6 9

Yass Valley 1 6 5 5 17 1 7 10 10 28

Harden 1 1 0 1 3 1 2 1 1 5

Gundagai 2 11 2 3 18 2 18 3 8 31

Wagga Wagga 1 3 2 0 6 1 3 3 3 10

Greater Hume 0 6 4 0 10 0 7 5 2 14

Albury 0 1 3 1 5 0 1 7 1 9






K S M O

Total killed

& injured FEDERAL (SH 3) (Hume Hwy near GOULBURN to ACT Border near SUTTON) Goulburn Mulwaree 0 0 3 1 4 0 0 7 1 8

Upper Lachlan 0 1 5 0 6 0 1 5 2 8

Palerang 0 0 5 6 11 0 0 6 7 13

Yass Valley 0 0 1 0 1 0 0 1 2 3

Sub-total 0 1 14 7 22 0 1 19 12 32

SNOWY MOUNTAINS (SH 4) (Princes Hwy near BEGA to Hume Hwy near GUNDAGAI) Bega Valley 1 3 2 1 7 1 4 4 1 10

Cooma-Monaro 0 1 0 0 1 0 1 0 0 1

Snowy River 0 3 4 4 11 0 3 4 4 11

Tumut 1 6 4 4 15 1 9 6 5 21

Gundagai 0 0 0 0 0 0 0 0 0 0

Sub-total 2 13 10 9 34 2 17 14 10 43






K S M O

Total killed

& injured

GREAT WESTERN (SH 5) (SYDNEY to BATHURST)

Sydney 0 10 9 16 35 0 11 11 22 44

Leichhardt 0 4 7 4 15 0 5 9 4 18

Marrickville 0 3 4 8 15 0 3 5 10 18

Ashfield 0 1 3 13 17 0 1 4 19 24

Canada Bay 0 4 7 18 29 0 4 13 23 40

Burwood 0 3 5 6 14 0 4 6 8 18

Strathfield 0 5 3 10 18 0 5 3 16 24

Auburn 0 10 9 19 38 0 12 11 27 50

Parramatta 0 4 9 28 41 0 4 9 35 48

Holroyd 0 10 16 42 68 0 13 20 57 90

Blacktown 0 15 8 26 49 0 21 13 35 69

Penrith 1 7 17 21 46 1 8 24 30 63

Blue Mountains 0 24 40 15 79 0 26 50 27 103

Lithgow 0 10 12 0 22 0 13 21 3 37

Bathurst Regional 1 5 14 4 24 2 9 26 10 47

Sub-total 2 115 163 230 510 3 139 225 326 693






K S M O

Total killed

& injured MID WESTERN (SH 6) (BATHURST to HAY) Bathurst Regional 0 3 0 1 4 0 3 1 1 5

Blayney 0 1 7 1 9 0 2 8 1 11

Cowra 0 1 3 1 5 0 1 4 1 6

Weddin 0 2 1 0 3 0 2 1 0 3

Bland 0 0 2 0 2 0 0 2 0 2

Carrathool 0 5 0 1 6 0 6 0 3 9

Hay 0 0 0 1 1 0 0 0 1 1

Sub-total 0 12 13 5 30 0 14 16 7 37

MITCHELL (SH 7) (BATHURST to BARRINGUN) Bathurst Regional 1 3 1 1 6 1 5 2 1 9

Cabonne 1 5 5 1 12 1 8 5 2 16

Orange 1 5 7 1 14 1 6 12 5 24

Wellington 2 4 3 1 10 2 6 5 5 18

Dubbo 1 5 12 1 19 1 5 20 3 29

Narromine 0 4 2 0 6 0 5 2 1 8

Warren 0 1 1 0 2 0 2 1 0 3

Bogan 0 1 0 0 1 0 1 0 0 1

Bourke 0 1 0 0 1 0 1 0 0 1

Sub-total 6 29 31 5 71 6 39 47 17 109






K S M O

Total killed

& injured BARRIER (SH 8) (NYNGAN to South Australian border near COCKBURN) Bogan 0 0 1 0 1 0 0 1 0 1

Cobar 0 2 1 1 4 0 3 1 1 5

Central Darling 0 0 1 0 1 0 0 1 1 2


Broken Hill 0 0 2 0 2 0 0 3 0 3

Sub-total 0 7 5 1 13 0 8 6 2 16






K S M O

Total killed

& injured

NEW ENGLAND (SH 9) (HEXHAM to Queensland border at WALLANGARRA)

Newcastle 1 4 4 3 12 1 4 5 4 14

Maitland 0 10 24 8 42 0 12 32 12 56

Cessnock 0 1 4 0 5 0 1 4 0 5

Singleton 3 9 9 4 25 5 14 19 5 43

Muswellbrook 0 1 3 1 5 0 1 3 1 5

Upper Hunter 0 3 8 4 15 0 6 9 5 20

Liverpool Plains 2 1 4 0 7 3 5 8 1 17


Uralla 1 2 4 1 8 2 4 9 6 21

Armidale Dumaresq 1 1 4 1 7 1 1 9 1 12

Guyra 1 1 3 0 5 1 1 5 0 7

Glen Innes Severn 0 3 4 0 7 0 4 8 0 12

Tenterfield 0 0 3 1 4 0 0 3 2 5






K S M O

Total killed

& injured

PACIFIC (SH 10) (NORTH SYDNEY to TWEED HEADS)

North Sydney 1 6 6 5 18 1 6 6 5 18

Lane Cove 0 3 1 5 9 0 3 3 7 13

Willoughby 0 4 7 12 23 0 4 10 13 27

Ku-ring-gai 1 15 16 24 56 1 15 20 31 67

Hornsby 1 21 14 10 46 1 24 20 12 57

Gosford 0 9 15 4 28 0 10 18 6 34

Wyong 0 10 40 17 67 0 12 55 22 89

Lake Macquarie 0 18 23 9 50 0 18 31 13 62

Newcastle 0 4 21 13 38 0 4 26 16 46

Port Stephens 0 3 7 9 19 0 3 10 11 24

Great Lakes 1 10 8 3 22 2 12 13 3 30

Greater Taree 2 6 15 1 24 3 7 24 2 36

Port Macquarie-Hastings 1 11 9 3 24 1 11 19 7 38

Kempsey 1 6 6 0 13 1 8 13 4 26

Nambucca 5 5 7 4 21 8 17 17 8 50

Bellingen 2 0 1 2 5 2 0 2 3 7

Coffs Harbour 0 18 21 17 56 0 21 29 30 80

Clarence Valley 0 16 20 6 42 0 24 24 17 65

Richmond Valley 3 7 4 4 18 3 13 8 5 29

Ballina 0 1 3 2 6 0 2 5 2 9

Byron 1 6 5 3 15 1 9 10 5 25

Tweed 2 9 15 6 32 2 16 17 12 47






K S M O

Total killed

& injured OXLEY (SH 11) (PORT MACQUARIE to NEVERTIRE) Port Macquarie-Hastings 2 9 8 7 26 2 9 14 8 33

Walcha 1 1 2 0 4 1 1 4 1 7


Gunnedah 1 1 2 1 5 1 1 4 1 7

Warrumbungle 0 1 3 1 5 0 1 3 2 6

Gilgandra 1 0 0 1 2 1 0 0 1 2

Warren 0 2 2 0 4 0 2 3 0 5

Sub-total 5 14 24 11 54 5 14 37 14 70

GWYDIR (SH 12) (SOUTH GRAFTON to WALGETT) Clarence Valley 0 4 3 1 8 0 6 4 1 11

Glen Innes Severn 0 1 1 1 3 0 1 1 1 3

Inverell 0 2 12 0 14 0 2 14 2 18

Gwydir 0 0 1 1 2 0 0 2 1 3

Moree Plains 0 0 2 0 2 0 0 2 0 2

Walgett 0 0 0 1 1 0 0 0 1 1

Sub-total 0 7 19 4 30 0 9 23 6 38






K S M O

Total killed

& injured CUMBERLAND (SH 13) (LIVERPOOL to WAHROONGA) Liverpool 0 2 3 8 13 0 2 4 11 17

Fairfield 0 12 14 26 52 0 12 21 37 70

Holroyd 0 14 15 22 51 0 17 21 29 67

Parramatta 0 7 16 13 36 0 9 21 17 47

The Hills 1 7 4 13 25 1 9 6 17 33

Hornsby 2 12 29 33 76 2 12 35 47 96

Sub-total 3 54 81 115 253 3 61 108 158 330

STURT (SH 14) (Hume Hwy near GUNDAGAI to MILDURA) Wagga Wagga 1 9 12 4 26 1 9 18 6 34

Narrandera 0 1 2 0 3 0 1 2 1 4

Murrumbidgee 0 2 2 0 4 0 2 3 2 7

Hay 0 1 0 1 2 0 1 0 1 2

Wakool 0 0 0 0 0 0 0 0 0 0

Balranald 0 1 0 5 6 0 1 0 6 7

Wentworth 0 0 1 3 4 0 0 1 6 7

Sub-total 1 14 17 13 45 1 14 24 22 61






K S M O

Total killed

& injured

BARTON (SH 15) (Hume Hwy near YASS to ACT border near HALL)

Yass Valley 0 1 1 2 4 0 1 2 2 5

Sub-total 0 1 1 2 4 0 1 2 2 5

BRUXNER (SH 16) (Pacific Hwy near BALLINA to New England Hwy, TENTERFIELD) Ballina 0 2 6 2 10 0 4 9 9 22

Lismore 0 12 10 4 26 0 12 17 7 36

Richmond Valley 1 5 9 1 16 1 8 9 4 22

Kyogle 1 1 3 2 7 1 1 3 2 7

Tenterfield 1 3 2 0 6 1 4 3 1 9

Sub-total 3 23 30 9 65 3 29 41 23 96






K S M O

Total killed

& injured

NEWELL (SH 17) (TOCUMWAL to Queensland border at GOONDIWINDI)

Berrigan 0 0 2 0 2 0 0 2 0 2

Jerilderie 0 1 1 0 2 0 1 3 0 4

Urana 0 0 0 1 1 0 0 0 1 1

Narrandera 0 2 1 0 3 0 2 1 0 3

Coolamon 0 1 2 1 4 0 1 2 1 4

Bland 3 1 0 0 4 4 6 7 2 19

Weddin 0 0 2 0 2 0 0 2 0 2

Forbes 1 4 3 2 10 1 5 4 4 14

Parkes 0 2 2 1 5 0 3 4 1 8

Narromine 0 0 2 0 2 0 0 2 0 2

Dubbo 3 5 7 3 18 4 6 12 6 28

Gilgandra 0 2 3 0 5 0 2 4 4 10

Warrumbungle 0 3 1 3 7 0 5 1 6 12

Narrabri 1 2 1 2 6 2 5 1 2 10

Moree Plains 1 7 6 3 17 1 9 12 7 29

Sub-total 9 30 33 16 88 12 45 57 34 148






K S M O

Total killed

& injured CASTLEREAGH (SH 18) (MARRANGAROO to Queensland border near HEBEL) Lithgow 0 3 1 0 4 0 3 2 2 7

Mid-Western Regional 2 12 8 3 25 2 14 11 3 30

Warrumbungle 0 1 0 0 1 0 1 0 0 1

Gilgandra 0 0 0 0 0 0 0 0 0 0

Coonamble 0 1 0 0 1 0 1 0 0 1

Walgett 0 3 2 2 7 0 3 2 6 11

Brewarrina 0 0 0 0 0 0 0 0 0 0

Sub-total 2 20 11 5 38 2 22 15 11 50

MONARO (SH 19) (ACT border near CANBERRA to Victorian border near ROCKTON) Cooma-Monaro 0 0 8 4 12 0 0 8 6 14

Bombala 0 5 1 1 7 0 5 3 1 9

Sub-total 0 5 9 5 19 0 5 11 7 23






K S M O

Total killed

& injured RIVERINA (SH 20) (HUME WEIR to DENILIQUIN) Albury 0 6 8 0 14 0 6 16 2 24

Greater Hume 0 1 0 2 3 0 1 3 5 9

Corowa 0 1 1 0 2 0 1 1 0 2

Berrigan 0 0 0 0 0 0 0 0 0 0

Conargo 0 0 0 0 0 0 0 0 0 0

Deniliquin 0 0 0 0 0 0 0 0 0 0

Sub-total 0 8 9 2 19 0 8 20 7 35

COBB (SH 21) (MOAMA to Barrier Hwy near WILCANNIA) Murray 0 0 2 3 5 0 0 2 5 7

Deniliquin 0 1 0 0 1 0 1 0 0 1

Conargo 0 0 0 0 0 0 0 0 0 0

Hay 0 1 1 0 2 0 1 1 0 2

Carrathool 0 0 0 0 0 0 0 0 0 0

Central Darling 0 1 0 0 1 0 1 0 0 1

Sub-total 0 3 3 3 9 0 3 3 5 11






K S M O

Total killed

& injured SILVER CITY (SH 22) (Sturt Hwy near MILDURA to Queensland border at WARRI GATE) Wentworth 1 0 0 6 7 1 0 0 9 10


Broken Hill 0 2 3 0 5 0 2 3 0 5

Sub-total 1 3 5 6 15 1 3 5 9 18

CHARLESTOWN-SANDGATE (SH 23) (CHARLESTOWN to SANDGATE) Lake Macquarie 0 0 0 0 0 0 0 0 0 0

Newcastle 0 4 16 12 32 0 5 21 15 41

Sub-total 0 4 16 12 32 0 5 21 15 41

ILLAWARRA (SH 25) (ALBION PARK to Hume Hwy at HODDLES CROSSROADS) Shellharbour 0 9 7 4 20 0 9 7 6 22

Wingecarribee 0 3 14 0 17 0 3 18 2 23






K S M O

Total killed

& injured GOLDEN (SH 27) (SINGLETON to DUBBO) Singleton 3 2 9 4 18 4 2 12 5 23

Muswellbrook 1 3 0 0 4 1 4 1 0 6

Upper Hunter 0 3 0 0 3 0 3 1 0 4

Warrumbungle 0 4 1 0 5 0 4 3 0 7

Wellington 0 0 0 1 1 0 0 0 1 1

Dubbo 0 0 8 0 8 0 0 15 1 16

Sub-total 4 12 18 5 39 5 13 32 7 57

CARNARVON (SH 28) (MOREE to MUNGINDI) Moree Plains 0 2 0 0 2 0 2 0 0 2

Sub-total 0 2 0 0 2 0 2 0 0 2

KAMILAROI (SH 29) (WILLOW TREE to BOURKE) Liverpool Plains 0 0 3 0 3 0 0 4 0 4

Gunnedah 0 1 0 0 1 0 3 0 1 4

Narrabri 0 4 0 0 4 0 5 0 0 5

Walgett 0 1 0 0 1 0 1 0 0 1

Brewarrina 0 0 0 0 0 0 0 0 0 0

Bourke 0 2 0 2 4 0 2 0 4 6

Sub-total 0 8 3 2 13 0 11 4 5 20






K S M O

Total killed

& injured CENTRAL COAST (SH 30) (SOMERSBY to DOYALSON) Gosford 1 13 26 16 56 1 15 30 26 72

Wyong 1 17 13 12 43 1 17 18 16 52

Sub-total 2 30 39 28 99 2 32 48 42 124

GOLD COAST (SH 31) (Pacific Hwy near TWEED HEADS to Queensland border at COOLANGATTA) Tweed 0 0 0 0 0 0 0 0 0 0

Sub-total 0 0 0 0 0 0 0 0 0 0

STATE HIGHWAYS: TOTAL 88 940 1,273 994 3,295 102 1,152 1,838 1,482 4,574 1 FC – Fatal crash SC – Serious injury crash MC – Moderate injury crash OC – Minor/Other injury crash. 2 K – Killed S – Seriously injured M – Moderately injured O – Minor/Other injured.


Casualties in 2015

— Road user class

— Age and sex distribution

— Safety devices

— Alcohol and controller casualties

— Alcohol, speeding and fatigue

Table 31: Casualties, road user class, degree of casualty

Road user class

Degree of casualty

Killed Seriously

injured Moderately

injured Minor/Other

injured Total killed

& injured

CONTROLLER

Driver

Car 115 2,803 5,341 4,844 13,103

Light truck 23 391 663 479 1,556



Bus 0 12 19 13 44


Sub-total 155 3,343 6,171 5,414 15,083

Motorcycle rider 66 1,098 716 320 2,200

Pedal cycle rider 7 322 306 177 812

Other/Unknown 0 3 1 0 4

CONTROLLER

Sub-total 228 4,766 7,194 5,911 18,099

PASSENGER

Car 51 775 972 1,605 3,403

Light truck 8 91 110 149 358



Bus 1 10 17 55 83


Sub-total 60 884 1,110 1,823 3,877

Motorcycle 1 26 23 24 74

Pedal cycle 0 0 1 1 2

Other/Unknown 0 0 1 1 2

PASSENGER

Sub-total 61 910 1,135 1,849 3,955

PEDESTRIAN

Sub-total 61 664 415 302 1,442

CASUALTIES: TOTAL 350 6,340 8,744 8,062 23,496


Table 32a: Casualties, degree of casualty, road user class, sex, age DEGREE OF CASUALTY: KILLED


Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Car driver M 0 0 5 7 3 14 8 8 8 13 7 0 73 F 0 0 9 4 4 4 6 3 5 2 5 0 42 Sub-total1 0 0 14 11 7 18 14 11 13 15 12 0 115 Car passenger M 1 2 4 3 2 2 1 1 0 0 1 0 17 F 3 5 5 0 1 0 1 5 2 8 4 0 34 Sub-total1 4 7 9 3 3 2 2 6 2 8 5 0 51 Other motor vehicle driver M 0 2 1 4 3 2 11 6 4 3 1 0 37 F 0 0 0 0 0 0 0 0 1 0 2 0 3 Sub-total1 0 2 1 4 3 2 11 6 5 3 3 0 40 Other motor vehicle passenger M 0 1 4 0 0 0 0 0 0 1 0 0 6 F 0 1 0 0 1 0 0 0 0 0 1 0 3 Sub-total1 0 2 4 0 1 0 0 0 0 1 1 0 9 Motorcycle rider M 0 2 2 5 8 6 14 19 4 2 1 0 63 F 0 0 0 0 0 0 1 1 1 0 0 0 3 Sub-total1 0 2 2 5 8 6 15 20 5 2 1 0 66 Motorcycle passenger M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 1 0 0 0 0 0 1 Sub-total1 0 0 0 0 0 0 1 0 0 0 0 0 1 Pedal cycle rider/passenger M 0 0 0 1 0 1 2 1 1 1 0 0 7 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total1 0 0 0 1 0 1 2 1 1 1 0 0 7 Pedestrian M 0 3 0 1 4 6 6 4 6 4 5 0 39 F 0 0 0 0 0 1 2 0 3 6 10 0 22 Sub-total1 0 3 0 1 4 7 8 4 9 10 15 0 61 CASUALTIES2: M 1 10 16 21 20 31 42 39 23 24 15 0 242 F 3 6 14 4 6 5 11 9 12 16 22 0 108 TOTAL1 4 16 30 25 26 36 53 48 35 40 37 0 350 1 Unknown sex included. 2 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Table 32b: Casualties, degree of casualty, road user class, sex, age DEGREE OF CASUALTY: SERIOUSLY INJURED


Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Car driver M 0 5 165 150 103 251 201 169 161 140 100 2 1,447 F 0 1 138 149 94 216 202 196 142 120 97 1 1,356 Sub-total1 0 6 303 299 197 467 403 365 303 260 197 3 2,803 Car passenger M 11 59 69 41 22 34 22 23 22 8 12 3 326 F 9 63 58 38 26 34 38 54 53 37 37 1 448 Sub-total1 20 122 127 80 48 68 60 77 75 45 49 4 775 Other motor vehicle driver M 0 0 39 47 39 89 93 96 51 14 11 0 479 F 0 1 10 6 3 9 10 8 6 5 3 0 61 Sub-total1 0 1 49 53 42 98 103 104 57 19 14 0 540 Other motor vehicle passenger M 2 7 16 11 5 7 9 6 5 2 1 0 71 F 0 1 4 3 3 3 5 8 9 2 0 0 38 Sub-total1 2 8 20 14 8 10 14 14 14 4 1 0 109 Motorcycle rider M 0 18 98 155 97 186 186 174 73 15 4 0 1,006 F 0 1 9 19 7 21 23 11 1 0 0 0 92 Sub-total1 0 19 107 174 104 207 209 185 74 15 4 0 1,098 Motorcycle passenger M 0 2 2 2 0 0 1 1 0 0 0 0 8 F 0 1 0 4 1 1 5 6 0 0 0 0 18 Sub-total1 0 3 2 6 1 1 6 7 0 0 0 0 26 Pedal cycle rider/passenger M 0 19 9 15 16 61 62 50 23 12 8 0 275 F 0 5 0 3 3 13 12 7 4 0 0 0 47 Sub-total1 0 24 9 18 19 74 74 57 27 12 8 0 322 Pedestrian M 12 57 25 26 23 40 33 32 42 33 31 4 358 F 8 18 22 30 16 38 27 28 36 55 27 1 306 Sub-total1 20 75 47 56 39 78 60 60 78 88 58 5 664 CASUALTIES2: M 25 167 423 447 305 668 607 552 377 224 167 9 3,971 F 17 91 241 252 153 335 322 320 251 219 164 3 2,368 TOTAL1 42 258 664 700 458 1,003 929 872 628 443 331 12 6,340 1 Unknown sex included. 2 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Table 32c: Casualties, degree of casualty, road user class, sex, age DEGREE OF CASUALTY: MODERATELY INJURED


Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Car driver M 0 7 304 327 244 506 400 286 210 138 96 3 2,521 F 0 5 364 401 239 552 465 395 236 106 54 3 2,820 Sub-total1 0 12 668 728 483 1,058 865 681 446 244 150 6 5,341 Car passenger M 27 97 52 48 24 37 20 23 10 11 6 2 357 F 31 126 86 64 31 55 63 70 41 30 15 2 614 Sub-total1 58 224 138 112 55 92 83 93 51 41 21 4 972 Other motor vehicle driver M 0 0 71 100 61 124 146 102 85 20 6 0 715 F 0 1 17 9 8 29 19 18 8 4 2 0 115 Sub-total1 0 1 88 109 69 153 165 120 93 24 8 0 830 Other motor vehicle passenger M 1 12 12 10 7 8 9 8 2 1 1 1 72 F 3 12 11 8 2 4 10 8 4 4 0 0 66 Sub-total1 4 24 23 18 9 12 19 16 6 5 1 1 138 Motorcycle rider M 0 10 77 97 71 139 92 98 46 11 1 0 642 F 0 2 9 17 10 19 5 9 3 0 0 0 74 Sub-total1 0 12 86 114 81 158 97 107 49 11 1 0 716 Motorcycle passenger M 0 3 1 3 0 1 1 0 0 0 0 0 9 F 0 3 1 1 1 2 3 2 1 0 0 0 14 Sub-total1 0 6 2 4 1 3 4 2 1 0 0 0 23 Pedal cycle rider/passenger M 1 29 13 16 28 59 48 46 11 4 1 0 256 F 0 8 2 8 3 15 6 5 3 0 1 0 51 Sub-total1 1 37 15 24 31 74 54 51 14 4 2 0 307 Pedestrian M 6 41 13 18 19 27 31 23 19 11 7 1 216 F 0 34 26 20 16 23 14 31 22 8 5 0 199 Sub-total1 6 75 39 38 35 50 45 54 41 19 12 1 415 CASUALTIES2: M 36 199 543 619 454 902 747 586 383 196 118 7 4,790 F 34 191 516 528 310 699 585 538 318 152 77 5 3,953 TOTAL1 70 391 1,059 1,147 764 1,601 1,332 1,124 701 348 195 12 8,744 1 Unknown sex included. 2 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Table 32d: Casualties, degree of casualty, road user class, sex, age DEGREE OF CASUALTY: MINOR/OTHER INJURED


Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Car driver M 0 1 135 243 258 540 460 352 205 89 23 45 2,351 F 0 3 172 291 232 576 538 392 176 64 7 36 2,487 Sub-total1 0 4 307 534 490 1,116 999 744 381 153 30 86 4,844 Car passenger M 31 103 51 48 28 56 37 30 22 8 9 115 538 F 37 107 68 79 66 118 74 91 51 29 16 201 937 Sub-total1 70 210 119 127 94 174 111 121 73 37 25 444 1,605 Other motor vehicle driver M 0 1 14 49 46 110 109 96 47 14 3 8 497 F 0 0 2 5 5 22 16 10 2 1 1 5 69 Sub-total1 0 1 16 54 51 132 125 106 49 15 4 17 570 Other motor vehicle passenger M 0 14 7 14 5 16 10 9 3 2 0 24 104 F 0 15 6 12 5 8 9 4 2 4 2 20 87 Sub-total1 0 29 13 26 10 24 19 13 5 6 2 71 218 Motorcycle rider M 0 10 15 31 24 60 46 49 28 3 1 19 286 F 0 0 2 5 4 6 6 9 1 0 0 0 33 Sub-total1 0 10 17 36 28 66 52 58 29 3 1 20 320 Motorcycle passenger M 0 1 1 0 0 1 1 0 0 1 0 1 6 F 0 0 0 0 2 0 0 6 1 0 0 9 18 Sub-total1 0 1 1 0 2 1 1 6 1 1 0 10 24 Pedal cycle rider/passenger M 0 10 8 12 12 35 35 16 5 4 0 15 152 F 0 1 0 1 5 7 4 2 0 0 0 3 23 Sub-total1 0 11 8 13 17 42 39 18 5 4 0 21 178 Pedestrian M 3 18 10 14 12 20 21 16 18 10 5 17 164 F 1 10 7 18 12 24 18 12 14 2 2 16 136 Sub-total1 4 28 17 32 24 44 39 28 32 12 7 35 302

CASUALTIES2: M 34 158 241 411 385 838 719 568 328 131 41 244 4,098 F 38 136 257 411 331 761 665 526 247 100 28 291 3,791 TOTAL1 74 294 498 822 716 1,599 1,385 1,094 575 231 69 705 8,062 1 Unknown sex included. 2 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Table 32e: Casualties, degree of casualty, road user class, sex, age DEGREE OF CASUALTY: ALL CASUALTIES


Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Car driver M 0 13 609 727 608 1,311 1,069 815 584 380 226 50 6,392 F 0 9 683 845 569 1,348 1,211 986 559 292 163 40 6,705 Sub-total1 0 22 1,292 1,572 1,177 2,659 2,281 1,801 1,143 672 389 95 13,103 Car passenger M 70 261 176 140 76 129 80 77 54 27 28 120 1,238 F 80 301 217 181 124 207 176 220 147 104 72 204 2,033 Sub-total1 152 563 393 322 200 336 256 297 201 131 100 452 3,403 Other motor vehicle driver M 0 3 125 200 149 325 359 300 187 51 21 8 1,728 F 0 2 29 20 16 60 45 36 17 10 8 5 248 Sub-total1 0 5 154 220 165 385 404 336 204 61 29 17 1,980 Other motor vehicle passenger M 3 34 39 35 17 31 28 23 10 6 2 25 253 F 3 29 21 23 11 15 24 20 15 10 3 20 194 Sub-total1 6 63 60 58 28 46 52 43 25 16 5 72 474 Motorcycle rider M 0 40 192 288 200 391 338 340 151 31 7 19 1,997 F 0 3 20 41 21 46 35 30 6 0 0 0 202 Sub-total1 0 43 212 329 221 437 373 370 157 31 7 20 2,200 Motorcycle passenger M 0 6 4 5 0 2 3 1 0 1 0 1 23 F 0 4 1 5 4 3 9 14 2 0 0 9 51 Sub-total1 0 10 5 10 4 5 12 15 2 1 0 10 74 Pedal cycle rider/passenger M 1 58 30 44 56 156 147 113 40 21 9 15 690 F 0 14 2 12 11 35 22 14 7 0 1 3 121 Sub-total1 1 72 32 56 67 191 169 127 47 21 10 21 814 Pedestrian M 21 119 48 59 58 93 91 75 85 58 48 22 777 F 9 62 55 68 44 86 61 71 75 71 44 17 663 Sub-total1 30 181 103 127 102 179 152 146 160 129 92 41 1,442 CASUALTIES2: M 96 534 1,223 1,498 1,164 2,439 2,115 1,745 1,111 575 341 260 13,101 F 92 424 1,028 1,195 800 1,800 1,583 1,393 828 487 291 299 10,220 TOTAL1 190 959 2,251 2,694 1,964 4,239 3,699 3,138 1,939 1,062 632 729 23,496 1 Unknown sex included. 2 Includes unknowns, animal riders and occupants of vehicles such as animal drawn vehicles and trains.


Table 33: Road vehicle casualties, road user class, safety device used, degree of casualty

Road user class/ safety device used1

Degree of casualty

Killed Seriously

injured Moderately

injured Minor/Other


& injured

Driver Adult belt worn 100 2,930 5,616 5,024 13,670 Fitted but not worn 29 73 41 34 177 No restraint fitted 5 13 9 5 32 Unknown 21 327 505 351 1,204 Sub-total 155 3,343 6,171 5,414 15,083 Passenger Adult belt worn 43 671 851 1,139 2,704 Child restraint worn 4 36 80 105 225 Fitted but not worn 5 37 21 24 87 No restraint fitted 2 19 19 39 79 Unknown 6 121 139 516 782 Sub-total 60 884 1,110 1,823 3,877 Motorcycle rider/passenger Open face (jet) helmet worn 8 155 99 36 298 Full face helmet worn 51 872 567 248 1,738 No helmet worn 7 34 16 15 72 Unknown 1 63 57 45 166 Sub-total 67 1,124 739 344 2,274 Pedal cycle rider/passenger Helmet worn 6 240 230 128 604 No helmet worn 1 47 41 13 102 Unknown 0 35 36 37 108 Sub-total 7 322 307 178 814 Other/unknown 0 3 2 1 6 All road vehicle casualties Device worn 212 4,904 7,443 6,680 19,239 Device not worn 49 223 147 130 549 Unknown 28 548 737 949 2,262 ROAD VEHICLE CASUALTIES: TOTAL2 289 5,676 8,329 7,760 22,054

1 Police reporting of safety device usage is often not based on direct observation by police officers and may be reliant upon statements by the casualties themselves or other involved parties.

2 Includes not applicable safety device use.


Table 34a: Motor vehicle controller casualties, degree of casualty, BAC1, sex, age DEGREE OF CASUALTY: KILLED Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Legal M 0 2 6 8 9 13 24 30 15 16 9 0 132 F 0 0 8 3 4 2 6 3 7 1 7 0 41 Sub-total2 0 2 14 11 13 15 30 33 22 17 16 0 173 .001 – .0193 M 0 0 0 2 0 0 0 0 0 0 0 0 2 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 2 0 0 0 0 0 0 0 0 2 .020 – .0494 M 0 0 0 0 0 0 1 0 0 0 0 0 1 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 0 0 0 1 0 0 0 0 0 1 .050 – .079 M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 1 0 0 0 0 0 1 Sub-total2 0 0 0 0 0 0 1 0 0 0 0 0 1 .080 – .149 M 0 1 0 4 2 4 1 0 0 0 0 0 12 F 0 0 1 0 0 0 0 1 0 0 0 0 2 Sub-total2 0 1 1 4 2 4 1 1 0 0 0 0 14 ≥ .150 M 0 0 2 2 2 4 4 2 1 0 0 0 17 F 0 0 0 1 0 0 0 0 0 0 0 0 1 Sub-total2 0 0 2 3 2 4 4 2 1 0 0 0 18 Unknown M 0 1 0 0 1 1 3 1 0 2 0 0 9 F 0 0 0 0 0 2 0 0 0 1 0 0 3 Sub-total2 0 1 0 0 1 3 3 1 0 3 0 0 12 MOTOR VEHICLE M 0 4 8 16 14 22 33 33 16 18 9 0 173 CONTROLLER F 0 0 9 4 4 4 7 4 7 2 7 0 48 CASUALTIES: TOTAL2 0 4 17 20 18 26 40 37 23 20 16 0 221 1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 34b: Motor vehicle controller casualties, degree of casualty, BAC1, sex, age DEGREE OF CASUALTY: SERIOUSLY INJURED Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Legal M 0 15 221 249 172 362 356 358 230 131 98 0 2,192 F 0 2 117 124 75 178 174 170 110 102 81 1 1,134 Sub-total2 0 17 338 373 247 540 530 528 340 233 179 1 3,326 .001 – .0193 M 0 0 0 1 0 2 0 0 0 0 0 0 3 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 1 0 2 0 0 0 0 0 0 3 .020 – .0494 M 0 1 3 2 0 2 0 0 0 0 0 0 8 F 0 1 1 0 0 0 0 0 0 0 0 0 2 Sub-total2 0 2 4 2 0 2 0 0 0 0 0 0 10 .050 – .079 M 0 0 6 4 0 5 6 2 0 0 0 0 23 F 0 0 1 0 2 1 2 0 0 1 0 0 7 Sub-total2 0 0 7 4 2 6 8 2 0 1 0 0 30 .080 – .149 M 0 0 13 20 16 20 23 7 3 4 0 0 106 F 0 0 1 5 2 10 9 1 0 1 0 0 29 Sub-total2 0 0 14 25 18 30 32 8 3 5 0 0 135 ≥ .150 M 0 0 10 18 8 37 21 19 2 3 0 0 118 F 0 0 1 5 6 8 11 5 2 0 0 0 38 Sub-total2 0 0 11 23 14 45 32 24 4 3 0 0 156 Unknown M 0 7 49 58 43 98 74 53 50 31 17 2 482 F 0 0 36 40 19 49 39 39 37 21 19 0 299 Sub-total2 0 7 85 98 62 147 113 92 87 52 36 2 781 MOTOR VEHICLE M 0 23 302 352 239 526 480 439 285 169 115 2 2,932 CONTROLLER F 0 3 157 174 104 246 235 215 149 125 100 1 1,509 CASUALTIES: TOTAL2 0 26 459 526 343 772 715 654 434 294 215 3 4,441 1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 34c: Motor vehicle controller casualties, degree of casualty, BAC1, sex, age DEGREE OF CASUALTY: MODERATELY INJURED Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Legal M 0 12 299 334 218 485 413 320 232 112 71 1 2,497 F 0 3 258 241 153 345 300 264 162 74 38 1 1,839 Sub-total2 0 15 557 575 371 830 713 584 394 186 109 2 4,336 .001 – .0193 M 0 0 1 1 0 0 0 0 0 0 0 0 2 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 1 1 0 0 0 0 0 0 0 0 2 .020 – .0494 M 0 0 1 1 1 0 1 0 0 0 0 0 4 F 0 0 0 0 0 1 0 0 0 0 0 0 1 Sub-total2 0 0 1 1 1 1 1 0 0 0 0 0 5 .050 – .079 M 0 0 4 4 2 1 2 1 1 2 0 0 17 F 0 0 1 1 0 3 1 0 1 0 0 0 7 Sub-total2 0 0 5 5 2 4 3 1 2 2 0 0 24 .080 – .149 M 0 0 13 19 14 12 4 5 1 2 0 0 70 F 0 0 2 5 1 3 4 3 1 1 0 0 20 Sub-total2 0 0 15 24 15 15 8 8 2 3 0 0 90 ≥ .150 M 0 0 9 21 9 32 23 10 5 2 0 1 112 F 0 0 1 3 4 7 10 4 3 1 0 0 33 Sub-total2 0 0 10 24 13 39 33 14 8 3 0 1 145 Unknown M 0 5 125 144 132 239 195 150 102 51 32 1 1,176 F 0 5 128 177 99 241 174 151 80 34 18 2 1,109 Sub-total2 0 10 253 321 231 480 369 301 182 85 50 3 2,285 MOTOR VEHICLE M 0 17 452 524 376 769 638 486 341 169 103 3 3,878 CONTROLLER F 0 8 390 427 257 600 489 422 247 110 56 3 3,009 CASUALTIES: TOTAL2 0 25 842 951 633 1,369 1,127 908 588 279 159 6 6,887 1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 34d: Motor vehicle controller casualties, degree of casualty, BAC1, sex, age DEGREE OF CASUALTY: MINOR/OTHER INJURED Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Legal M 0 3 58 73 60 114 133 99 67 29 8 11 655 F 0 1 42 53 51 87 59 48 34 12 2 8 397 Sub-total2 0 4 100 126 111 201 192 147 101 41 10 20 1,053 .001 – .0193 M 0 0 0 0 1 0 0 0 0 0 0 0 1 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 0 1 0 0 0 0 0 0 0 1 .020 – .0494 M 0 0 0 0 0 0 0 0 0 0 0 0 0 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 0 0 0 0 0 0 0 0 0 0 0 .050 – .079 M 0 0 1 0 2 1 1 1 1 0 0 0 7 F 0 0 0 1 0 0 1 0 0 0 0 0 2 Sub-total2 0 0 1 1 2 1 2 1 1 0 0 0 9 .080 – .149 M 0 0 1 8 2 5 1 4 1 0 0 1 23 F 0 0 2 3 1 0 0 2 0 1 0 0 9 Sub-total2 0 0 3 11 3 5 1 6 1 1 0 1 32 ≥ .150 M 0 0 1 2 2 6 4 2 1 0 0 1 19 F 0 0 0 1 1 4 2 1 0 0 0 0 9 Sub-total2 0 0 1 3 3 10 6 3 1 0 0 1 28 Unknown M 0 9 103 240 261 584 476 391 210 77 19 59 2,429 F 0 2 132 243 188 513 498 360 145 52 6 33 2,172 Sub-total2 0 11 235 483 449 1,097 975 751 355 129 25 101 4,611 MOTOR VEHICLE M 0 12 164 323 328 710 615 497 280 106 27 72 3,134 CONTROLLER F 0 3 176 301 241 604 560 411 179 65 8 41 2,589 CASUALTIES: TOTAL2 0 15 340 624 569 1,314 1,176 908 459 171 35 123 5,734 1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 34e: Motor vehicle controller casualties, degree of casualty, BAC1, sex, age DEGREE OF CASUALTY: ALL CASUALTIES Blood Alcohol Concentration (g/100mL) Sex

Age (years)

Total 0-4 5-16 17-20 21-25 26-29 30-39 40-49 50-59 60-69 70-79 ≥ 80 u/k Legal M 0 32 584 664 459 974 926 807 544 288 186 12 5,476 F 0 6 425 421 283 612 539 485 313 189 128 10 3,411 Sub-total2 0 38 1,009 1,085 742 1,586 1,465 1,292 857 477 314 23 8,888 .001 – .0193 M 0 0 1 4 1 2 0 0 0 0 0 0 8 F 0 0 0 0 0 0 0 0 0 0 0 0 0 Sub-total2 0 0 1 4 1 2 0 0 0 0 0 0 8 .020 – .0494 M 0 1 4 3 1 2 2 0 0 0 0 0 13 F 0 1 1 0 0 1 0 0 0 0 0 0 3 Sub-total2 0 2 5 3 1 3 2 0 0 0 0 0 16 .050 – .079 M 0 0 11 8 4 7 9 4 2 2 0 0 47 F 0 0 2 2 2 4 5 0 1 1 0 0 17 Sub-total2 0 0 13 10 6 11 14 4 3 3 0 0 64 .080 – .149 M 0 1 27 51 34 41 29 16 5 6 0 1 211 F 0 0 6 13 4 13 13 7 1 3 0 0 60 Sub-total2 0 1 33 64 38 54 42 23 6 9 0 1 271 ≥ .150 M 0 0 22 43 21 79 52 33 9 5 0 2 266 F 0 0 2 10 11 19 23 10 5 1 0 0 81 Sub-total2 0 0 24 53 32 98 75 43 14 6 0 2 347 Unknown M 0 22 277 442 437 922 748 595 362 161 68 62 4,096 F 0 7 296 460 306 805 711 550 262 108 43 35 3,583 Sub-total2 0 29 573 902 743 1,727 1,460 1,145 624 269 111 106 7,689 MOTOR VEHICLE M 0 56 926 1,215 957 2,027 1,766 1,455 922 462 254 77 10,117 CONTROLLER F 0 14 732 906 606 1,454 1,291 1,052 582 302 171 45 7,155 CASUALTIES: TOTAL2 0 70 1,658 2,121 1,563 3,481 3,058 2,507 1,504 764 425 132 17,283 1 Blood Alcohol Concentration. 2 Unknown sex included. 3 Learner and Provisional Licence holders. 4 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.


Table 35a: Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration DEGREE OF CASUALTY: KILLED Blood alcohol concentration (g/100mL)

Road user class

Legal .001-.0191 .020-.0492 .050-.079 .080-.149 ≥.150 Unknown

Total

Car driver 91 0 0 1 6 12 5 115

Light truck driver 16 1 0 0 4 2 0 23

Heavy rigid truck driver 2 0 0 0 0 0 0 2

Articulated truck driver 8 0 1 0 0 0 0 9

Bus driver 0 0 0 0 0 0 0 0

Motorcycle rider 53 1 0 0 4 3 5 66

Other motor vehicle driver 3 0 0 0 0 1 2 6

MOTOR VEHICLE

CONTROLLER

CASUALTIES: TOTAL 173 2 1 1 14 18 12 221

1 Learner and Provisional Licence holders.

2 Learner and Provisional Licence holders, unlicensed controllers and certain categories of professional controllers.

Table 35b: Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration DEGREE OF CASUALTY: SERIOUSLY INJURED Blood alcohol concentration (g/100mL)

Road user class

Legal .001-.0191 .020-.0492 .050-.079 .080-.149 ≥.150 Unknown

Total

Car driver 2,056 2 9 16 92 108 520 2,803




Bus driver 9 0 0 0 0 0 3 12

Motorcycle rider 867 1 0 3 19 20 188 1,098


MOTOR VEHICLE

CONTROLLER

CASUALTIES: TOTAL 3,326 3 10 30 135 156 781 4,441




Table 35c: Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration DEGREE OF CASUALTY: MODERATELY INJURED Blood alcohol concentration (g/100mL)

Road user class

Legal .001-.0191 .020-.0492 .050-.079 .080-.149 ≥.150 Unknown

Total

Car driver 3,282 1 4 19 75 115 1,845 5,341




Bus driver 17 0 0 0 0 0 2 19



MOTOR VEHICLE

CONTROLLER

CASUALTIES: TOTAL 4,336 2 5 24 90 145 2,285 6,887



Table 35d: Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration DEGREE OF CASUALTY: MINOR/OTHER INJURED Blood alcohol concentration (g/100mL)

Road user class

Legal .001-.0191 .020-.0492 .050-.079 .080-.149 ≥.150 Unknown

Total

Car driver 815 1 0 8 27 25 3,968 4,844




Bus driver 8 0 0 0 0 0 5 13



MOTOR VEHICLE

CONTROLLER





Table 35e: Motor vehicle controller casualties, degree of casualty, road user class, blood alcohol concentration DEGREE OF CASUALTY: ALL CASUALTIES Blood alcohol concentration (g/100mL)

Road user class

Legal .001-.0191 .020-.0492 .050-.079 .080-.149 ≥.150 Unknown

Total

Car driver 6,244 4 13 44 200 260 6,338 13,103

Light truck driver 859 2 1 14 43 49 588 1,556



Bus driver 34 0 0 0 0 0 10 44

Motorcycle rider 1,472 2 1 6 27 34 658 2,200


MOTOR VEHICLE

CONTROLLER





Table 36a: Casualties, alcohol involvement in crash, degree of casualty

Alcohol involved in crash

Degree of casualty

Killed Seriously

injured Moderately

injured Minor/Other


& injured Yes 45 463 392 164 1,064 No 274 4,409 4,869 1,683 11,235 Unknown 31 1,468 3,483 6,215 11,197

CASUALTIES: Total 350 6,340 8,744 8,062 23,496

Table 36b: Casualties, speeding involvement in crash, degree of casualty

Speeding involved in crash

Degree of casualty

Killed Seriously

injured Moderately

injured Minor/Other


& injured Yes 146 1,520 1,504 712 3,882 No or unknown 204 4,820 7,240 7,350 19,614

CASUALTIES: Total 350 6,340 8,744 8,062 23,496

Table 36c: Casualties, fatigue involvement in crash, degree of casualty

Fatigue involved in crash

Degree of casualty

Killed Seriously

injured Moderately

injured Minor/Other


& injured Yes 55 774 687 268 1,784 No or unknown 295 5,566 8,057 7,794 21,712

CASUALTIES: Total 350 6,340 8,744 8,062 23,496 The identification of speeding and fatigue involvement cannot always be determined from police reports of road crashes. The Centre for Road Safety has therefore established criteria for determining if a crash is likely to have involved these factors. The criteria used for this purpose are shown on page 11.


Reference information

— Population

— Licence

— Vehicles

Table 37: New South Wales residents1, age, sex Sex

Age (years) Male Female TOTAL

0 – 4 252,872 238,754 491,626

5 – 16 574,970 543,251 1,118,221

17 – 20 200,422 188,293 388,715

21 – 25 270,201 259,618 529,819

26 – 29 217,377 219,574 436,951

30 – 39 525,837 532,636 1,058,473

40 – 49 498,940 513,637 1,012,577

50 – 59 477,668 492,576 970,244

60 – 69 392,130 403,184 795,314

70 – 79 241,535 258,207 499,742

≥ 80 127,579 190,970 318,549

NEW SOUTH WALES RESIDENTS:

TOTAL 3,779,531 3,840,700 7,620,231

Source – Australian Bureau of Statistics Australian Demographic Statistics. 1 Preliminary estimated resident population for 30 June 2015 as published in September 2016.


Table 38: Licence holders* as at 30 June 2015, age, sex All licence holders

Age (years) Male Female TOTAL1

≤ 16 28,271 28,227 56,498

17 – 20 158,302 154,019 312,321

21 – 25 207,043 203,922 410,965

26 – 29 180,034 179,131 359,165

30 – 39 488,552 481,869 970,421

40 – 49 489,526 481,264 970,801

50 – 59 467,314 444,563 911,892

60 – 69 376,425 343,801 720,235

70 – 79 211,174 180,209 391,388

≥ 80 81,355 60,713 142,069

LICENCE HOLDERS:

TOTAL2 2,687,996 2,557,718 5,245,755 * Including Learner Licence holders 1 Includes cases in which the sex of the licence holder was not recorded 2 Includes cases in which the age of the licence holder was not recorded Note: This table is counting the number of licence holders, whereas editions prior to 2000 counted the number of licences on issue. Learner Licence holders are included.


Table 39: Vehicles on register, vehicle type Vehicle type Vehicles on register1

MOTOR VEHICLES

Passenger vehicle2 4,216,743

Rigid truck, van or utility 726,807

Articulated truck 19,415

Bus 13,284

Motorcycle 216,833

Sub-total 5,193,082

OTHER VEHICLES Plant 6,777

Trailer 922,155

Sub-total 928,932

VEHICLES ON REGISTER: TOTAL 6,122,014

Source – Roads and Maritime Services. Note: As a result of a reclassification of types in the registration database, the passenger vehicle and rigid truck, van or utility

categories are not comparable with years prior to 2013. 1 As at 30 June 2015 2 Includes sedans, station wagons, passenger vans, convertibles, coupes and three-wheeled cars.


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